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ORCID18th AAMAS 2019: Montreal, QC, Canada
- Edith Elkind, Manuela Veloso, Noa Agmon, Matthew E. Taylor:
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019. International Foundation for Autonomous Agents and Multiagent Systems 2019, ISBN 978-1-4503-6309-9
Keynote Talks
- Subbarao Kambhampati:
Synthesizing Explainable Behavior for Human-AI Collaboration. 1-2 - Francesca Rossi, Andrea Loreggia:
Preferences and Ethical Priorities: Thinking Fast and Slow in AI. 3-4 - Carles Sierra:
Responsible Autonomy. 5 - Doina Precup:
Building Knowledge for AI Agents with Reinforcement Learning. 6
1A: Reinforcement Learning 1
- Sammie Katt, Frans A. Oliehoek, Christopher Amato:
Bayesian Reinforcement Learning in Factored POMDPs. 7-15 - Jiang Rong, Tao Qin, Bo An:
Competitive Bridge Bidding with Deep Neural Networks. 16-24 - Sanmit Narvekar, Peter Stone:
Learning Curriculum Policies for Reinforcement Learning. 25-33 - Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer:
Model Primitive Hierarchical Lifelong Reinforcement Learning. 34-42 - Gregory Palmer, Rahul Savani, Karl Tuyls:
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning. 43-51 - Yang Liu, Yifeng Zeng, Yingke Chen, Jing Tang, Yinghui Pan:
Self-Improving Generative Adversarial Reinforcement Learning. 52-60
1B: Socially Intelligent Agents 1
- Mike Ligthart, Timo Fernhout, Mark A. Neerincx, Kelly L. A. van Bindsbergen, Martha A. Grootenhuis, Koen V. Hindriks:
A Child and a Robot Getting Acquainted - Interaction Design for Eliciting Self-Disclosure. 61-70 - Pooja Prajod, Mohammed Al Owayyed, Tim Rietveld, Jaap-Jan van der Steeg, Joost Broekens:
The Effect of Virtual Agent Warmth on Human-Agent Negotiation. 71-76 - O. Can Görür, Benjamin Rosman, Sahin Albayrak:
Anticipatory Bayesian Policy Selection for Online Adaptation of Collaborative Robots to Unknown Human Types. 77-85 - Hannes Ritschel, Ilhan Aslan, David Sedlbauer, Elisabeth André
:
Irony Man: Augmenting a Social Robot with the Ability to Use Irony in Multimodal Communication with Humans. 86-94 - Kim Baraka, Marta Couto, Francisco S. Melo, Manuela Veloso:
An Optimization Approach for Structured Agent-Based Provider/Receiver Tasks. 95-103 - Sepehr Janghorbani, Ashutosh Modi, Jakob Buhmann, Mubbasir Kapadia:
Domain Authoring Assistant for Intelligent Virtual Agent. 104-112
1C: Multi-Robot Systems
- Michael Amir, Alfred M. Bruckstein:
Minimizing Travel in the Uniform Dispersal Problem for Robotic Sensors. 113-121 - Rui Liu, Fan Jia, Wenhao Luo, Meghan Chandarana, Changjoo Nam, Michael Lewis, Katia P. Sycara:
Trust-Aware Behavior Reflection for Robot Swarm Self-Healing. 122-130 - Florence Ho, Ana Salta, Rúben Geraldes, Artur Goncalves, Marc Cavazza, Helmut Prendinger:
Multi-Agent Path Finding for UAV Traffic Management. 131-139 - Pierre Thalamy, Benoît Piranda, Julien Bourgeois:
Distributed Self-Reconfiguration using a Deterministic Autonomous Scaffolding Structure. 140-148 - Yinon Douchan, Ran Wolf, Gal A. Kaminka:
Swarms Can be Rational. 149-157 - Ebtehal Turki Saho Alotaibi:
A Complete Multi-Robot Path-Planning Algorithm: JAAMAS Track. 158-160
1D: Verification and Validation
- Alessio Lomuscio, Edoardo Pirovano:
A Counter Abstraction Technique for the Verification of Probabilistic Swarm Systems. 161-169 - Natasha Alechina, Mehdi Dastani, Brian Logan:
Decidable Model Checking with Uniform Strategies. 170-178 - Panagiotis Kouvaros, Alessio Lomuscio, Edoardo Pirovano, Hashan Punchihewa:
Formal Verification of Open Multi-Agent Systems. 179-187 - Giuseppe Perelli:
Enforcing Equilibria in Multi-Agent Systems. 188-196 - Damian Kurpiewski, Michal Knapik, Wojciech Jamroga:
On Domination and Control in Strategic Ability. 197-205 - Francesco Belardinelli, Stéphane Demri:
Resource-bounded ATL: the Quest for Tractable Fragments. 206-214
1E: Economic Paradigms: Learning and Adaptation
- Weiran Shen, Pingzhong Tang, Song Zuo:
Automated Mechanism Design via Neural Networks. 215-223 - Michal Sustr, Vojtech Kovarík, Viliam Lisý:
Monte Carlo Continual Resolving for Online Strategy Computation in Imperfect Information Games. 224-232 - James P. Bailey, Georgios Piliouras:
Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System. 233-241 - Yasser F. O. Mohammad, Shinji Nakadai:
Optimal Value of Information Based Elicitation During Negotiation. 242-250 - Jayakumar Subramanian, Aditya Mahajan:
Reinforcement Learning in Stationary Mean-field Games. 251-259 - Jasper Bakker, Aron Hammond, Daan Bloembergen, Tim Baarslag:
RLBOA: A Modular Reinforcement Learning Framework for Autonomous Negotiating Agents. 260-268
1F: Agent Societies and Societal Issues 1
- Jason Xu, Julián García, Toby Handfield:
Cooperation with Bottom-up Reputation Dynamics. 269-276 - Yi Yang, Quan Bai, Qing Liu:
Dynamic Source Weight Computation for Truth Inference over Data Streams. 277-285 - Nanda Kishore Sreenivas, Shrisha Rao:
Egocentric Bias and Doubt in Cognitive Agents. 286-295 - Fan Yang, Bo Liu, Wen Dong:
Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process. 296-304 - Kai Zhou, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, Yevgeniy Vorobeychik:
Attacking Similarity-Based Link Prediction in Social Networks. 305-313 - Sixie Yu, Yevgeniy Vorobeychik:
Removing Malicious Nodes from Networks. 314-322
2A: Reinforcement Learning 2
- Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Jie Tan, Chelsea Finn:
NoRML: No-Reward Meta Learning. 323-331 - Banafsheh Rafiee, Sina Ghiassian, Adam White, Richard S. Sutton:
Prediction in Intelligence: An Empirical Comparison of Off-policy Algorithms on Robots. 332-340 - Chao Yu, Xin Wang, Jianye Hao, Zhanbo Feng:
Reinforcement Learning for Cooperative Overtaking. 341-349 - Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls:
Robust Temporal Difference Learning for Critical Domains. 350-358 - Changjian Li, Krzysztof Czarnecki:
Urban Driving with Multi-Objective Deep Reinforcement Learning. 359-367 - Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song:
How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning. 368-376
2B: Practicial Applications of Game Theory
- Haris Aziz, Serge Gaspers, Zhaohong Sun, Toby Walsh:
From Matching with Diversity Constraints to Matching with Regional Quotas. 377-385 - David Mguni, Joel Jennings, Emilio Sison, Sergio Valcarcel Macua, Sofia Ceppi, Enrique Munoz de Cote:
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems. 386-394 - Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe:
Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. 395-403 - Chenxi Qiu, Anna Cinzia Squicciarini, Benjamin V. Hanrahan:
Incentivizing Distributive Fairness for Crowdsourcing Workers. 404-412 - Péter Biró, Walter Kern, Dömötör Pálvölgyi, Daniël Paulusma:
Generalized Matching Games for International Kidney Exchange. 413-421 - Hongyao Ma, Reshef Meir, David C. Parkes, James Y. Zou:
Contingent Payment Mechanisms for Resource Utilization. 422-430
2C: Knowledge Representation and Reasoning
- Andrew Perrault, Craig Boutilier:
Experiential Preference Elicitation for Autonomous Heating and Cooling Systems. 431-439 - Peta Masters, Sebastian Sardiña:
Goal Recognition for Rational and Irrational Agents. 440-448 - Min He, Hongliang Guo:
Interleaved Q-Learning with Partially Coupled Training Process. 449-457 - Nikhil Bhargava, Brian C. Williams:
Multiagent Disjunctive Temporal Networks. 458-466 - Luis Enrique Pineda, Shlomo Zilberstein:
Soft Labeling in Stochastic Shortest Path Problems. 467-475 - Atena M. Tabakhi, William Yeoh, Makoto Yokoo:
Parameterized Heuristics for Incomplete Weighted CSPs with Elicitation Costs. 476-484
2D: Social Choice Theory 1
- Luis Sánchez Fernández, Jesús A. Fisteus:
Monotonicity Axioms in Approval-based Multi-winner Voting Rules. 485-493 - Markus Brill, Piotr Faliszewski, Frank Sommer, Nimrod Talmon:
Approximation Algorithms for BalancedCC Multiwinner Rules. 494-502 - Aizhong Zhou, Yongjie Yang, Jiong Guo:
Parameterized Complexity of Committee Elections with Dichotomous and Trichotomous Votes. 503-510 - Sushmita Gupta, Pallavi Jain, Sanjukta Roy, Saket Saurabh, Meirav Zehavi:
Gehrlein Stability in Committee Selection: Parameterized Hardness and Algorithms. 511-519 - Felix Brandt, Johannes Hofbauer, Martin Strobel:
Exploring the No-Show Paradox for Condorcet Extensions Using Ehrhart Theory and Computer Simulations. 520-528 - Jasper Lu, David Kai Zhang, Zinovi Rabinovich, Svetlana Obraztsova, Yevgeniy Vorobeychik:
Manipulating Elections by Selecting Issues. 529-537
2E: Game Theory 1
- Gabriel Istrate, Cosmin Bonchis, Alin Brîndusescu:
Attacking Power Indices by Manipulating Player Reliability. 538-546 - Kai Jin, Ce Jin, Zhaoquan Gu:
Cooperation via Codes in Restricted Hat Guessing Games. 547-555 - Arunesh Sinha, Michael P. Wellman:
Incentivizing Collaboration in a Competition. 556-564 - Robert Bredereck, Edith Elkind, Ayumi Igarashi:
Hedonic Diversity Games. 565-573 - Raffaello Carosi, Gianpiero Monaco, Luca Moscardelli:
Local Core Stability in Simple Symmetric Fractional Hedonic Games. 574-582 - Naoyuki Kamiyama:
Many-to-Many Stable Matchings with Ties, Master Preference Lists, and Matroid Constraints. 583-591
2F: Agent Societies and Societal Issues 2
- Vahid Yazdanpanah, Mehdi Dastani, Wojciech Jamroga, Natasha Alechina, Brian Logan:
Strategic Responsibility Under Imperfect Information. 592-600 - Candice Schumann, Samsara N. Counts, Jeffrey S. Foster, John P. Dickerson:
The Diverse Cohort Selection Problem. 601-609 - Nicolas De Bufala, Jean-Daniel Kant:
An Evolutionary Approach to Find Optimal Policies with an Agent-Based Simulation. 610-618 - Jie Gao, Grant Schoenebeck, Fang-Yi Yu:
The Volatility of Weak Ties: Co-evolution of Selection and Influence in Social Networks. 619-627 - Palash Dey, Sourav Medya:
Covert Networks: How Hard is It to Hide? 628-637 - Ferdinando Fioretto, Pascal Van Hentenryck:
Privacy-Preserving Federated Data Sharing. 638-646
3A: Learning and Adaptation
- Riccardo Sartea, Alessandro Farinelli, Matteo Murari:
Agent Behavioral Analysis Based on Absorbing Markov Chains. 647-655 - Oscar Chang, Robert Kwiatkowski, Siyuan Chen, Hod Lipson:
Agent Embeddings: A Latent Representation for Pole-Balancing Networks. 656-664 - Panayiotis Danassis, Boi Faltings:
Courtesy as a Means to Coordinate. 665-673 - Rohith Dwarakanath Vallam, Sarthak Ahuja, Surya Shravan Kumar Sajja, Ritwik Chaudhuri, Rakesh Pimplikar, Kushal Mukherjee, Ramasuri Narayanam, Gyana R. Parija:
Dynamic Particle Allocation to Solve Interactive POMDP Models for Social Decision Making. 674-682 - Jane X. Wang, Edward Hughes, Chrisantha Fernando, Wojciech M. Czarnecki, Edgar A. Duéñez-Guzmán, Joel Z. Leibo:
Evolving Intrinsic Motivations for Altruistic Behavior. 683-692 - Ryan Lowe, Jakob N. Foerster, Y-Lan Boureau, Joelle Pineau, Yann N. Dauphin:
On the Pitfalls of Measuring Emergent Communication. 693-701
3B: Socially Intelligent Agents 2
- Gabriel Castillo, Michael Neff:
What do we express without knowing?: Emotion in Gesture. 702-710 - Yaqian Zhang, Wooi-Boon Goh:
Bootstrapped Policy Gradient for Difficulty Adaptation in Intelligent Tutoring Systems. 711-719 - Samantha Krening, Karen M. Feigh:
Newtonian Action Advice: Integrating Human Verbal Instruction with Reinforcement Learning. 720-727 - Taylor Kessler Faulkner, Reymundo A. Gutierrez, Elaine Schaertl Short, Guy Hoffman, Andrea Lockerd Thomaz:
Active Attention-Modified Policy Shaping: Socially Interactive Agents Track. 728-736 - Kallirroi Georgila, Mark G. Core, Benjamin D. Nye, Shamya Karumbaiah, Daniel Auerbach, Maya Ram:
Using Reinforcement Learning to Optimize the Policies of an Intelligent Tutoring System for Interpersonal Skills Training. 737-745 - Jize Chen, Changhong Wang:
Reaching Cooperation using Emerging Empathy and Counter-empathy. 746-753
3C: Engineering Multiagent Systems 1
- Buster A. Bernstein, Jasper C. M. Geurtz, Vincent J. Koeman:
Evaluating the Effectiveness of Multi-Agent Organisational Paradigms in a Real-Time Strategy Environment: Engineering Multiagent Systems Track. 754-762 - Mohammad Al-Zinati, Rym Wenkstern:
Agent-Environment Interactions in Large-Scale Multi-Agent Based Simulation Systems. 763-771 - Sandra Garcia-Rodriguez, Jorge J. Gómez-Sanz:
Robust Decentralised Agent Based Approach for Microgrid Energy Management. 772-780 - Akin Günay, Amit K. Chopra, Munindar P. Singh:
Supple: Multiagent Communication Protocols with Causal Types. 781-789 - Alessandro Ricci, Andrei Ciortea, Simon Mayer, Olivier Boissier, Rafael H. Bordini, Jomi Fred Hübner:
Engineering Scalable Distributed Environments and Organizations for MAS. 790-798 - Rafael C. Cardoso, Rafael H. Bordini:
Decentralised Planning for Multi-Agent Programming Platforms. 799-807
3D: Social Choice Theory 2
- Robert Bredereck, Junjie Luo:
Complexity of Manipulation in Premise-Based Judgment Aggregation with Simple Formulas. 819-827 - Sirin Botan, Umberto Grandi, Laurent Perrussel:
Multi-Issue Opinion Diffusion under Constraints. 828-836 - Hadi Hosseini, Kate Larson:
Multiple Assignment Problems under Lexicographic Preferences. 837-845 - Gábor Erdélyi, Christian Reger, Yongjie Yang:
Towards Completing the Puzzle: Solving Open Problems for Control in Elections. 846-854 - Palash Dey, Swaprava Nath, Garima Shakya:
Testing Preferential Domains Using Sampling. 855-863 - Jingyan Wang, Nihar B. Shah:
Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings. 864-872
3E: Game Theory 2
- Gianpiero Monaco, Luca Moscardelli, Yllka Velaj:
On the Performance of Stable Outcomes in Modified Fractional Hedonic Games with Egalitarian Social Welfare. 873-881 - Hendrik Fichtenberger, Amer Krivosija, Anja Rey:
Testing Individual-Based Stability Properties in Graphical Hedonic Games. 882-890 - Anna Maria Kerkmann, Jörg Rothe:
Stability in FEN-Hedonic Games for Single-Player Deviations. 891-899 - Aurélie Beynier, Sylvain Bouveret, Michel Lemaître, Nicolas Maudet, Simon Rey, Parham Shams:
Efficiency, Sequenceability and Deal-Optimality in Fair Division of Indivisible Goods. 900-908 - Andrea Celli, Stefano Coniglio, Nicola Gatti:
Computing Optimal Ex Ante Correlated Equilibria in Two-Player Sequential Games. 909-917 - Yossi Azar, Allan Borodin, Michal Feldman, Amos Fiat, Kineret Segal:
Efficient Allocation of Free Stuff. 918-925
3F: Logics for Agents
- Christoph Schwering, Maurice Pagnucco:
A Representation Theorem for Reasoning in First-Order Multi-Agent Knowledge Bases. 926-934 - Xinliang Song, Tonghan Wang, Chongjie Zhang:
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. 935-943 - Emiliano Lorini, Fabián Romero:
Decision Procedures for Epistemic Logic Exploiting Belief Bases. 944-952 - Tim French, Rustam Galimullin, Hans van Ditmarsch, Natasha Alechina:
Groups Versus Coalitions: On the Relative Expressivity of GAL and CAL. 953-961 - Wojciech Jamroga, Vadim Malvone, Aniello Murano:
Natural Strategic Ability under Imperfect Information. 962-970 - Aurèle Barrière, Bastien Maubert, Aniello Murano, Sasha Rubin:
Reasoning about Changes of Observational Power in Logics of Knowledge and Time. 971-979
4A: Learning Agent Capabilities
- Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu:
A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network. 980-988 - Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang:
Context-Aware Policy Reuse. 989-997 - Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux:
Playing Atari with Six Neurons. 998-1006 - Tong Mu, Karan Goel, Emma Brunskill:
PLOTS: Procedure Learning from Observations using subTask Structure. 1007-1015 - Josiah P. Hanna, Peter Stone:
Reducing Sampling Error in Policy Gradient Learning. 1016-1024 - Longxiang Shi, Shijian Li, Longbing Cao, Long Yang, Gang Pan:
TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning. 1025-1032
4B: Multimodal Interaction
- Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere:
A Grounded Interaction Protocol for Explainable Artificial Intelligence. 1033-1041 - Akshat Agarwal, Swaminathan Gurumurthy, Vasu Sharma, Mike Lewis, Katia P. Sycara:
Community Regularization of Visually-Grounded Dialog. 1042-1050 - Kathrin Janowski, Elisabeth André:
What If I Speak Now?: A Decision-Theoretic Approach to Personality-Based Turn-Taking. 1051-1059 - Dan Feng, Elín Carstensdóttir, Magy Seif El-Nasr, Stacy Marsella:
Exploring Improvisational Approaches to Social Knowledge Acquisition. 1060-1068 - Julie Porteous, Alan Lindsay:
Protagonist vs Antagonist PROVANT: Narrative Generation as Counter Planning. 1069-1077 - Sule Anjomshoae, Amro Najjar, Davide Calvaresi, Kary Främling:
Explainable Agents and Robots: Results from a Systematic Literature Review. 1078-1088
4C: Deep Learning
- Hyun-Rok Lee, Taesik Lee:
Improved Cooperative Multi-agent Reinforcement Learning Algorithm Augmented by Mixing Demonstrations from Centralized Policy. 1089-1098 - Joel Z. Leibo, Julien Pérolat, Edward Hughes, Steven Wheelwright, Adam H. Marblestone, Edgar A. Duéñez-Guzmán, Peter Sunehag, Iain Dunning, Thore Graepel:
Malthusian Reinforcement Learning. 1099-1107 - Hangyu Mao, Zhengchao Zhang, Zhen Xiao, Zhibo Gong:
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG. 1108-1116 - Diana Borsa, Nicolas Heess, Bilal Piot, Siqi Liu, Leonard Hasenclever, Rémi Munos, Olivier Pietquin:
Observational Learning by Reinforcement Learning. 1117-1124 - Ondrej Biza, Robert Platt Jr.:
Online Abstraction with MDP Homomorphisms for Deep Learning. 1125-1133 - Dylan Banarse, Yoram Bachrach, Siqi Liu, Guy Lever, Nicolas Heess, Chrisantha Fernando, Pushmeet Kohli, Thore Graepel:
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution. 1134-1142
4D: Robotics
- Mikko Lauri, Joni Pajarinen, Jan Peters:
Information Gathering in Decentralized POMDPs by Policy Graph Improvement. 1143-1151 - Minghua Liu, Hang Ma, Jiaoyang Li, Sven Koenig:
Task and Path Planning for Multi-Agent Pickup and Delivery. 1152-1160 - Benjamin Schnieders, Shan Luo, Gregory Palmer, Karl Tuyls:
Fully Convolutional One-Shot Object Segmentation for Industrial Robotics. 1161-1169 - Saurabh Arora, Prashant Doshi, Bikramjit Banerjee:
Online Inverse Reinforcement Learning Under Occlusion. 1170-1178 - Hao-Tsung Yang, Shih-Yu Tsai, Kin Sum Liu, Shan Lin, Jie Gao:
Patrol Scheduling Against Adversaries with Varying Attack Durations. 1179-1188 - Gokarna Sharma, Ayan Dutta, Jong-Hoon Kim:
Optimal Online Coverage Path Planning with Energy Constraints. 1189-1197
4E: Game Theory 3
- Julian Gutierrez, Sarit Kraus, Michael J. Wooldridge:
Cooperative Concurrent Games. 1198-1206 - Vincenzo Auletta, Diodato Ferraioli, Valeria Fionda, Gianluigi Greco:
Maximizing the Spread of an Opinion when Tertium Datur Est. 1207-1215 - Erel Segal-Halevi, Shani Alkoby, Tomer Sharbaf, David Sarne:
Obtaining Costly Unverifiable Valuations from a Single Agent. 1216-1224 - Yun Kuen Cheung, Martin Hoefer, Paresh Nakhe:
Tracing Equilibrium in Dynamic Markets via Distributed Adaptation. 1225-1233 - Paolo Serafino, Carmine Ventre, Angelina Vidali:
Truthfulness on a Budget: Trading Money for Approximation through Monitoring. 1234-1242 - Bo Li, Minming Li, Xiaowei Wu:
Well-behaved Online Load Balancing Against Strategic Jobs. 1243-1251
4F: Communication and Argumentation 1
- Yannis Dimopoulos, Jean-Guy Mailly, Pavlos Moraitis:
Argumentation-based Negotiation with Incomplete Opponent Profiles. 1252-1260 - Oana Cocarascu, Antonio Rago, Francesca Toni:
Extracting Dialogical Explanations for Review Aggregations with Argumentative Dialogical Agents. 1261-1269 - Leila Amgoud, Dragan Doder:
Gradual Semantics Accounting for Varied-Strength Attacks. 1270-1278 - Yakoub Salhi:
On an Argument-centric Persuasion Framework. 1279-1287 - Manel Ayadi, Nahla Ben Amor, Jérôme Lang, Dominik Peters:
Single Transferable Vote: Incomplete Knowledge and Communication Issues. 1288-1296 - Mattias Appelgren, Alex Lascarides:
Learning Plans by Acquiring Grounded Linguistic Meanings from Corrections. 1297-1305
5A: Learning Agents
- Yu Wang, Yue Deng, Yilin Shen, Hongxia Jin:
A New Concept of Convex based Multiple Neural Networks Structure. 1306-1314 - Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang:
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. 1315-1323 - Wei Tang, Chien-Ju Ho:
Bandit Learning with Biased Human Feedback. 1324-1332 - Mason Bretan, Sageev Oore, Siddharth Sanan, Larry P. Heck:
Robot Learning by Collaborative Network Training: A Self-Supervised Method using Ranking. 1333-1340
5B: Human-Robot interaction
- Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
Using Causal Analysis to Learn Specifications from Task Demonstrations. 1341-1349 - Tesca Fitzgerald, Elaine Short, Ashok K. Goel, Andrea Thomaz:
Human-guided Trajectory Adaptation for Tool Transfer. 1350-1358 - S. M. al Mahi, Kyungho Nam, Christopher Crick:
Distributed Heterogeneous Robot-Human Teams: Robotics Track. 1359-1367 - Sanket Gaurav, Brian D. Ziebart:
Discriminatively Learning Inverse Optimal Control Models for Predicting Human Intentions. 1368-1376
5C: Industrial Applications Track
- Zehong Hu, Zhen Wang, Zhao Li, Shichang Hu, Shasha Ruan, Jie Zhang:
Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits. 1377-1385 - Lu Duan, Haoyuan Hu, Yu Qian, Yu Gong, Xiaodong Zhang, Jiangwen Wei, Yinghui Xu:
A Multi-task Selected Learning Approach for Solving 3D Flexible Bin Packing Problem. 1386-1394 - Yujie Chen, Yu Qian, Yichen Yao, Zili Wu, Rongqi Li, Yinzhi Zhou, Haoyuan Hu, Yinghui Xu:
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? 1395-1403 - Sebastien Blandin, Laura Wynter, Hasan Poonawala, Sean Laguna, Basile Dura:
FASTER: Fusion AnalyticS for public Transport Event Response. 1404-1412
5D: Social Choice Theory 3
- Takehiro Ito, Naoyuki Kamiyama, Yusuke Kobayashi, Yoshio Okamoto:
Algorithms for Gerrymandering over Graphs. 1413-1421 - Roy Fairstein, Adam Lauz, Reshef Meir, Kobi Gal:
Modeling People's Voting Behavior with Poll Information. 1422-1430 - Justin Kruger, Sebastian Schneckenburger:
Fall if it Lifts your Teammate: A Novel Type of Candidate Manipulation. 1431-1439 - Yongjie Yang, Dinko Dimitrov:
How Hard Is It to Control a Group? 1440-1442
5E: Auctions and Mechanism Design
- Minming Li, Lili Mei, Yi Xu, Guochuan Zhang, Yingchao Zhao:
Facility Location Games with Externalities. 1443-1451 - Ilan Nehama, Taiki Todo, Makoto Yokoo:
Manipulations-resistant Facility Location Mechanisms for ZV-line Graphs. 1452-1460 - Lingjie Duan, Bo Li, Minming Li, Xinping Xu:
Heterogeneous Two-facility Location Games with Minimum Distance Requirement. 1461-1469 - Xujin Chen, Minming Li, Changjun Wang, Chenhao Wang, Yingchao Zhao:
Truthful Mechanisms for Location Games of Dual-Role Facilities. 1470-1478
5F: Agent Cooperation 1
- Isaac Vandermeulen, Roderich Groß, Andreas Kolling:
Balanced Task Allocation by Partitioning the Multiple Traveling Salesperson Problem. 1479-1487 - Wenhao Luo, Changjoo Nam, George Kantor, Katia P. Sycara:
Distributed Environmental Modeling and Adaptive Sampling for Multi-Robot Sensor Coverage. 1488-1496 - Arambam James Singh, Akshat Kumar:
Graph Based Optimization for Multiagent Cooperation. 1497-1505 - Yanchen Deng, Ziyu Chen, Dingding Chen, Xingqiong Jiang, Qiang Li:
PT-ISABB: A Hybrid Tree-based Complete Algorithm to Solve Asymmetric Distributed Constraint Optimization Problems. 1506-1514
5G: Networks
- Chen Hajaj, Sixie Yu, Zlatko Joveski, Yifan Guo, Yevgeniy Vorobeychik:
Adversarial Coordination on Social Networks. 1515-1523 - Dominic Aits, Alexander Carver, Paolo Turrini:
Group Segregation in Social Networks. 1524-1532 - Mohammad Rashedul Hasan, Anita Raja, Ana L. C. Bazzan:
A Context-aware Convention Formation Framework for Large-Scale Networks. 1533-1535 - Pablo Pico-Valencia, Juan A. Holgado-Terriza, José A. Senso:
An Agent Model Based on Open Linked Data for Building Internet of Agents Ecosystems. 1536-1538
6A: Agent-Based Simulation
- Guni Sharon, Stephen D. Boyles, Shani Alkoby, Peter Stone:
Marginal Cost Pricing with a Fixed Error Factor in Traffic Networks. 1539-1546 - Giulio Bacchiani, Daniele Molinari, Marco Patander:
Microscopic Traffic Simulation by Cooperative Multi-agent Deep Reinforcement Learning. 1547-1555 - Fernando P. Santos, Samuel Francisco Mascarenhas, Francisco C. Santos, Filipa Correia, Samuel Gomes, Ana Paiva:
Outcome-based Partner Selection in Collective Risk Dilemmas. 1556-1564 - Kyriakos Polymenakos, Alessandro Abate, Stephen J. Roberts:
Safe Policy Search Using Gaussian Process Models. 1565-1573
6B: Auctions and Mechanism Design
- Maria Kyropoulou, Carmine Ventre:
Obviously Strategyproof Mechanisms without Money for Scheduling. 1574-1581 - Yingkai Li, Pinyan Lu, Haoran Ye:
Revenue Maximization with Imprecise Distribution. 1582-1590 - Weiran Shen, Pingzhong Tang, Yulong Zeng:
Buyer Signaling Games in Auctions. 1591-1599 - Georgios Methenitis, Michael Kaisers, Han La Poutré:
Forecast-Based Mechanisms for Demand Response. 1600-1608
6C: Engineering Multiagent Systems 2
- Davide Dell'Anna, Mehdi Dastani, Fabiano Dalpiaz:
Runtime Revision of Norms and Sanctions based on Agent Preferences. 1609-1617 - Giorgio Audrito, Sergio Bergamini, Ferruccio Damiani, Mirko Viroli:
Effective Collective Summarisation of Distributed Data in Mobile Multi-Agent Systems. 1618-1626 - Andrew Silva, Sonia Chernova:
Unsupervised Role Discovery Using Temporal Observations of Agents. 1627-1634 - Parantapa Bhattacharya, Saliya Ekanayake, Chris J. Kuhlman, Christian Lebiere, Don Morrison, Samarth Swarup, Mandy L. Wilson, Mark G. Orr:
The Matrix: An Agent-Based Modeling Framework for Data Intensive Simulations. 1635-1643
6D: Blue Sky
- Robin Cohen, Mike Schaekermann, Sihao Liu, Michael Cormier:
Trusted AI and the Contribution of Trust Modeling in Multiagent Systems. 1644-1648 - Yazan Mualla, Amro Najjar, Stéphane Galland, Christophe Nicolle, Igor Haman Tchappi, Ansar-Ul-Haque Yasar, Kary Främling:
Between the Megalopolis and the Deep Blue Sky: Challenges of Transport with UAVs in Future Smart Cities. 1649-1653 - Budhitama Subagdja, Ah-Hwee Tan:
Beyond Autonomy: The Self and Life of Social Agents. 1654-1658 - Andrei Ciortea, Simon Mayer, Fabien Gandon, Olivier Boissier, Alessandro Ricci, Antoine Zimmermann:
A Decade in Hindsight: The Missing Bridge Between Multi-Agent Systems and the World Wide Web. 1659-1663 - Riccardo Tommasini, Davide Calvaresi, Jean-Paul Calbimonte:
Stream Reasoning Agents: Blue Sky Ideas Track. 1664-1680
6E: Agent Cooperation 2
- John P. Dickerson, Karthik Abinav Sankararaman, Kanthi Kiran Sarpatwar, Aravind Srinivasan, Kun-Lung Wu, Pan Xu:
Online Resource Allocation with Matching Constraints. 1681-1689 - Matteo Baldoni, Cristina Baroglio, Federico Capuzzimati, Roberto Micalizio:
Type Checking for Protocol Role Enactments via Commitments. 1690-1692 - Jun Wu, Yuan Zhang, Yu Qiao, Lei Zhang, Chongjun Wang, Junyuan Xie:
Multi-unit Budget Feasible Mechanisms for Cellular Traffic Offloading. 1693-1701 - Shaheen Fatima, Michael J. Wooldridge:
Computing Optimal Coalition Structures in Polynomial Time. 1702-1703
6F: Communication and Argumentation 2
- Jesse Heyninck, Christian Straßer:
A Fully Rational Argumentation System for Preordered Defeasible Rules. 1704-1712 - Amin Karamlou, Kristijonas Cyras, Francesca Toni:
Complexity Results and Algorithms for Bipolar Argumentation. 1713-1721 - Nico Potyka:
Extending Modular Semantics for Bipolar Weighted Argumentation. 1722-1730 - Kristijonas Cyras, Tiago Oliveira:
Resolving Conflicts in Clinical Guidelines using Argumentation. 1731-1739
6G: Planning & Learning
- Dorin Shmaryahu, Jörg Hoffmann, Guy Shani:
Comparative Criteria for Partially Observable Contingent Planning. 1740-1742 - Bo Yang, Min Liu:
Attack-Resilient Connectivity Game for UAV Networks using Generative Adversarial Learning. 1743-1751 - Jen Jen Chung, Damjan Miklic, Lorenzo Sabattini, Kagan Tumer, Roland Siegwart:
The Impact of Agent Definitions and Interactions on Multiagent Learning for Coordination. 1752-1760 - Josefina Sierra-Santibáñez:
An Agent-Based Model of the Emergence and Evolution of a Language System for Boolean Coordination: JAAMAS Track. 1761-1763
Extended Abstracts
- João Paulo Aires, Roger Granada, Juarez Monteiro, Rodrigo Coelho Barros, Felipe Meneguzzi:
Classification of Contractual Conflicts via Learning of Semantic Representations. 1764-1766 - Abdullah Cihan Ak, Arda Inceoglu, Sanem Sariel:
When to Stop for Safe Manipulation in Unstructured Environments? 1767-1769 - Dario Albani, Wolfgang Hönig, Nora Ayanian, Daniele Nardi, Vito Trianni:
Summary: Distributed Task Assignment and Path Planning with Limited Communication for Robot Teams. 1770-1772 - Shani Alkoby, Avilash Rath, Peter Stone:
Teaching Social Behavior through Human Reinforcement for Ad hoc Teamwork - The STAR Framework: Extended Abstract. 1773-1775 - Nicolas Anastassacos, Mirco Musolesi:
Towards Decentralized Reinforcement Learning Architectures for Social Dilemmas. 1776-1777 - Enrique Areyan Viqueira, Amy Greenwald, Cyrus Cousins, Eli Upfal:
Learning Simulation-Based Games from Data. 1778-1780 - Priscilla Avegliano, Jaime Simão Sichman:
Using Surrogate Models to Calibrate Agent-based Model Parameters Under Data Scarcity. 1781-1783 - Amos Azaria, Keren Nivasch:
The Multimodal Correction Detection Problem. 1784-1786 - Haris Aziz, Hau Chan, Bo Li:
Maxmin Share Fair Allocation of Indivisible Chores to Asymmetric Agents. 1787-1789 - Quentin Baert, Anne-Cécile Caron, Maxime Morge, Jean-Christophe Routier, Kostas Stathis:
Adaptive Multi-agent System for Situated Task Allocation. 1790-1792 - David Balaban, John Cooper, Erik Komendera:
Inverse Kinematics and Sensitivity Minimization of an n-Stack Stewart Platform. 1793-1795 - Matteo Baldoni, Cristina Baroglio, Olivier Boissier, Roberto Micalizio, Stefano Tedeschi:
Engineering Business Processes through Accountability and Agents. 1796-1798 - Jacopo Banfi, Mark E. Campbell:
High-Level Path Planning in Hostile Dynamic Environments. 1799-1801 - Souvik Barat, Harshad Khadilkar, Hardik Meisheri, Vinay Kulkarni, Vinita Baniwal, Prashant Kumar, Monika Gajrani:
Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning. 1802-1804 - Elaheh Barati, Xuewen Chen, Zichun Zhong:
Attention-based Deep Reinforcement Learning for Multi-view Environments. 1805-1807 - Mika Barkan, Gal A. Kaminka:
Towards Predictive Execution Monitoring in BDI Recipes. 1808-1810 - Siddharth Barman, Ganesh Ghalme, Shweta Jain, Pooja Kulkarni, Shivika Narang:
Fair Division of Indivisible Goods Among Strategic Agents. 1811-1813 - Dorothea Baumeister, Tobias Hogrebe:
Manipulative Design of Scoring Systems. 1814-1816 - Francesco Belardinelli, Umberto Grandi:
A Social Choice Theoretic Perspective on Database Aggregation. 1817-1819 - Francesco Belardinelli, Ioana Boureanu, Catalin Dima, Vadim Malvone:
Verifying Strategic Abilities in Multi-agent Systems with Private Data-Sharing. 1820-1822 - Clara Benac Earle, Lars-Åke Fredlund:
A Property-based Testing Framework for Multi-Agent Systems. 1823-1825 - Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley:
Training Cooperative Agents for Multi-Agent Reinforcement Learning. 1826-1828 - Fan Bi, Sebastian Stein, Enrico H. Gerding, Nick R. Jennings, Tom La Porta:
A Truthful Online Mechanism for Allocating Fog Computing Resources. 1829-1831 - Arpita Biswas, Suvam Mukherjee:
Fairness Through the Lens of Proportional Equality. 1832-1834 - James Blythe, Emilio Ferrara, Di Huang, Kristina Lerman, Goran Muric, Anna Sapienza, Alexey Tregubov, Diogo Pacheco, John Bollenbacher, Alessandro Flammini, Pik-Mai Hui, Filippo Menczer:
The DARPA SocialSim Challenge: Massive Multi-Agent Simulations of the Github Ecosystem. 1835-1837 - Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. 1838-1840 - Valentin Bouziat, Xavier Pucel, Stéphanie Roussel, Louise Travé-Massuyès:
Preference-Based Fault Estimation in Autonomous Robots: Incompleteness and Meta-Diagnosis. 1841-1843 - Ronen I. Brafman, Giuseppe De Giacomo:
Regular Decision Processes: Modelling Dynamic Systems without Using Hidden Variables. 1844-1846 - Angelina Brilliantova, Anton Pletenev, Hadi Hosseini:
The Rise and Fall of Complex Family Structures: Coalition Formation, Stability, and Power Struggle. 1847-1849 - Cédric L. R. Buron, Zahia Guessoum, Sylvain Ductor:
MCTS-based Automated Negotiation Agent. 1850-1852 - Grace Cai, Don Sofge:
An Urgency-Dependent Quorum Sensing Algorithm for N-Site Selection in Autonomous Swarms. 1853-1855 - Logan Carlson, Dalton Navalta, Monica N. Nicolescu, Mircea Nicolescu, Gail Woodward:
Multinomial HMMs for Intent Recognition in Maritime Domains. 1856-1858 - Thomas Carr, Maria Chli, George Vogiatzis:
Domain Adaptation for Reinforcement Learning on the Atari. 1859-1861 - Jacopo Castellini, Frans A. Oliehoek, Rahul Savani, Shimon Whiteson:
The Representational Capacity of Action-Value Networks for Multi-Agent Reinforcement Learning. 1862-1864 - Jim Martin Catacora Ocana, Francesco Riccio, Roberto Capobianco, Daniele Nardi:
Cooperative Multi-Agent Deep Reinforcement Learning in Soccer Domains. 1865-1867 - Andrea Celli, Giulia Romano, Nicola Gatti:
Personality-Based Representations of Imperfect-Recall Games. 1868-1870 - Hau Chan, Jing Chen, Bo Li, Xiaowei Wu:
Maximin-Aware Allocations of Indivisible Goods. 1871-1873 - Tristan Charrier, Arthur Queffelec, Ocan Sankur, François Schwarzentruber:
Reachability and Coverage Planning for Connected Agents. 1874-1876 - Ritwik Chaudhuri, Kushal Mukherjee, Ramasuri Narayanam, Rohith Dwarakanath Vallam, Ayush Kumar, Antriksh Mathur, Shweta Garg, Sudhanshu Singh, Gyana R. Parija:
Collaborative Reinforcement Learning Model for Sustainability of Cooperation in Sequential Social Dilemmas. 1877-1879 - Xiong-Hui Chen, Yang Yu:
Reinforcement Learning with Derivative-Free Exploration. 1880-1882 - Safa Cicek, Alireza Nakhaei, Stefano Soatto, Kikuo Fujimura:
MARL-PPS: Multi-agent Reinforcement Learning with Periodic Parameter Sharing. 1883-1885 - Jonathan Cohen, Abdel-Illah Mouaddib:
Power Indices for Team Reformation Planning Under Uncertainty. 1886-1888 - Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
Stability of Human-Inspired Agent Societies. 1889-1891 - Sarah Cooney, Phebe Vayanos, Thanh Hong Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward A. Cranford, Milind Tambe:
Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries. 1892-1894 - Federico Corò, Emilio Cruciani, Gianlorenzo D'Angelo, Stefano Ponziani:
Vote For Me!: Election Control via Social Influence in Arbitrary Scoring Rule Voting Systems. 1895-1897 - Jacob W. Crandall, Huy Pham:
Cooperating in Long-term Relationships with Time-Varying Structure. 1898-1900 - Stephen Cranefield, Frank Dignum:
Incorporating Social Practices in BDI Agent Systems. 1901-1903 - Michael Crosscombe, Jonathan Lawry:
Evidence Propagation and Consensus Formation in Noisy Environments. 1904-1906 - Zeyuan Cui, Li Pan, Shijun Liu:
Hybrid BiLSTM-Siamese Network for Relation Extraction. 1907-1909 - Christopher Culley, Ji Qi, Carmine Ventre:
How to Get the Most from Goods Donated to Charities. 1910-1912 - Steven Damer, Maria L. Gini, Jeffrey S. Rosenschein:
The Gift Exchange Game: Managing Opponent Actions. 1913-1915 - Sankarshan Damle, Boi Faltings, Sujit Gujar:
A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders. 1916-1918 - Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar:
Aggregating Citizen Preferences for Public Projects Through Civic Crowdfunding. 1919-1921 - Alper Demir, Erkin Çilden, Faruk Polat:
Landmark Based Reward Shaping in Reinforcement Learning with Hidden States. 1922-1924 - Palash Dey:
Local Distance Restricted Bribery in Voting. 1925-1927 - Carlos Diaz Alvarenga, Nicola Basilico, Stefano Carpin:
Delayed and Time-Variant Patrolling Strategies against Attackers with Local Observation Capabilities. 1928-1930 - Raghuram Bharadwaj Diddigi, Sai Koti Reddy Danda, Prabuchandran K. J., Shalabh Bhatnagar:
Actor-Critic Algorithms for Constrained Multi-agent Reinforcement Learning. 1931-1933 - Tom Eccles, Edward Hughes, János Kramár, Steven Wheelwright, Joel Z. Leibo:
The Imitation Game: Learned Reciprocity in Markov games. 1934-1936 - Alexander Elkholy, Fangkai Yang, Steven Gustafson:
Interpretable Automated Machine Learning in Maana™ Knowledge Platform. 1937-1939 - Tanguy Esteoule, Carole Bernon, Marie-Pierre Gleizes, Morgane Barthod:
Improving Wind Power Forecasting through Cooperation: A Case-Study on Operating Farms. 1940-1942 - Richard Everett, Adam D. Cobb, Andrew Markham, Stephen J. Roberts:
Optimising Worlds to Evaluate and Influence Reinforcement Learning Agents. 1943-1945 - Piotr Faliszewski, Piotr Skowron, Stanislaw Szufa, Nimrod Talmon:
Proportional Representation in Elections: STV vs PAV. 1946-1948 - Matthias Feldotto, Pascal Lenzner, Louise Molitor, Alexander Skopalik:
From Hotelling to Load Balancing: Approximation and the Principle of Minimum Differentiation. 1949-1951 - Diodato Ferraioli, Carmine Ventre:
Obvious Strategyproofness, Bounded Rationality and Approximation. 1952-1954 - Angelo Ferrando, Michael Winikoff, Stephen Cranefield, Frank Dignum, Viviana Mascardi:
On Enactability of Agent Interaction Protocols: Towards a Unified Approach. 1955-1957 - Thayanne França da Silva, José Luis Alves Leite, Raimundo Juracy Campos Ferro Junior, Leonardo Ferreira da Costa, Raphael Pinheiro de Souza, João Pedro Bernardino Andrade, Gustavo Augusto Lima de Campos:
Smart Targets to Avoid Observation in CTO Problem. 1958-1960 - Jeroen Fransman, Joris Sijs, Henry Dol, Erik Theunissen, Bart De Schutter:
Bayesian-DPOP for Continuous Distributed Constraint Optimization Problems. 1961-1963 - Tim French, Andrew Gozzard, Mark Reynolds:
Dynamic Aleatoric Reasoning in Games of Bluffing and Chance. 1964-1966 - Johannes Günther, Alex Kearney, Nadia M. Ady, Michael Rory Dawson, Patrick M. Pilarski:
Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm. 1967-1969 - Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, Nicholas R. Waytowich:
Learning Behaviors from a Single Video Demonstration Using Human Feedback. 1970-1972 - Francisco M. Garcia, Bruno C. da Silva, Philip S. Thomas:
A Compression-Inspired Framework for Macro Discovery. 1973-1975 - Francisco M. Garcia, Philip S. Thomas:
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning. 1976-1978 - Moojan Ghafurian, Neil Budnarain, Jesse Hoey:
Role of Emotions in Perception of Humanness of Virtual Agents. 1979-1981 - Leilani H. Gilpin, Lalana Kagal:
An Adaptable Self-Monitoring Framework for Opaque Machines. 1982-1984 - Piotr J. Gmytrasiewicz, Sarit Adhikari:
Optimal Sequential Planning for Communicative Actions: A Bayesian Approach. 1985-1987 - Arturo Gomez Chavez, Qingwen Xu, Christian A. Mueller, Sören Schwertfeger, Andreas Birk:
Towards Accurate Deep-Sea Localization in Structured Environments based on Perception Quality Cues. 1988-1990 - Shubham Goyal, Nirav Ajmeri, Munindar P. Singh:
Applying Norms and Sanctions to Promote Cybersecurity Hygiene. 1991-1993 - Davide Grossi, Simon Rey:
Credulous Acceptability, Poison Games and Modal Logic. 1994-1996 - Vaibhav Gupta, Daksh Anand, Praveen Paruchuri, Balaraman Ravindran:
Advice Replay Approach for Richer Knowledge Transfer in Teacher Student Framework. 1997-1999 - Michal Habani, Priel Levy, David Sarne:
Contest Manipulation for Improved Performance. 2000-2002 - Chung-Kyun Han, Shih-Fen Cheng, Pradeep Varakantham:
A Homophily-Free Community Detection Framework for Trajectories with Delayed Responses. 2003-2005 - Dongge Han, Wendelin Boehmer, Michael J. Wooldridge, Alex Rogers:
Multi-Agent Hierarchical Reinforcement Learning with Dynamic Termination. 2006-2008 - Mohammad Rashedul Hasan:
Towards a "Master Algorithm" for Forming Faster Conventions On Various Networks. 2009-2011 - Mohammadhosein Hasanbeig, Alessandro Abate, Daniel Kroening:
Logically-Constrained Neural Fitted Q-iteration. 2012-2014 - Mojgan Hashemian, Ana Paiva, Samuel Mascarenhas, Pedro Alexandre Santos, Rui Prada:
Social Power in Human-Robot Interaction: Towards More Persuasive Robots. 2015-2017 - Jesse Heyninck, Ofer Arieli:
Simple Contrapositive Assumption-Based Frameworks. 2018-2020 - Shuyue Hu, Chin-wing Leung, Ho-fung Leung, Jiamou Liu:
To be Big Picture Thinker or Detail-Oriented?: Utilizing Perceived Gist Information to Achieve Efficient Convention Emergence with Bilateralism and Multilateralism. 2021-2023 - Taoan Huang, Bohui Fang, Hoon Oh, Xiaohui Bei, Fei Fang:
Optimal Trip-Vehicle Dispatch with Multi-Type Requests. 2024-2026 - Ayumi Igarashi, Kazunori Ota, Yuko Sakurai, Makoto Yokoo:
Robustness against Agent Failure in Hedonic Games. 2027-2029 - Craig Innes, Alex Lascarides:
Learning Factored Markov Decision Processes with Unawareness. 2030-2032 - Anisse Ismaili, Kentaro Yahiro, Tomoaki Yamaguchi, Makoto Yokoo:
Student-Project-Resource Matching-Allocation Problems: Two-Sided Matching Meets Resource Allocation. 2033-2035 - Anisse Ismaili, Noam Hazon, Emi Watanabe, Makoto Yokoo, Sarit Kraus:
Complexity and Approximations in Robust Coalition Formation via Max-Min k-Partitioning. 2036-2038 - Mohammad Ali Javidian, Pooyan Jamshidi, Rasoul Ramezanian:
Avoiding Social Disappointment in Elections. 2039-2041 - Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe:
Deep Fictitious Play for Games with Continuous Action Spaces. 2042-2044 - Jan Karwowski, Jacek Mandziuk:
Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games with Double-Oracle Sampling Method. 2045-2047 - Ryohei Kawata, Katsuhide Fujita:
Meta-Strategy for Multi-Time Negotiation: A Multi-Armed Bandit Approach. 2048-2050 - Batya Kenig:
The Complexity of the Possible Winner Problem with Partitioned Preferences. 2051-2053 - Shauharda Khadka, Connor Yates, Kagan Tumer:
Memory based Multiagent One Shot Learning. 2054-2056 - Zine El Abidine Kherroubi, Samir Aknine, Rebiha Bacha:
Dynamic and Intelligent Control of Autonomous Vehicles for Highway On-ramp Merge. 2057-2059 - Seungchan Kim, Kavosh Asadi, Michael L. Littman, George Dimitri Konidaris:
Removing the Target Network from Deep Q-Networks with the Mellowmax Operator. 2060-2062 - Vincent J. Koeman, Koen V. Hindriks, Jonathan Gratch, Catholijn M. Jonker:
Recognising and Explaining Bidding Strategies in Negotiation Support Systems. 2063-2065 - Christine Konicki, Virginia Vassilevska Williams:
Bribery in Balanced Knockout Tournaments. 2066-2068 - Ngai Meng Kou, Cheng Peng, Xiaowei Yan, Zhiyuan Yang, Heng Liu, Kai Zhou, Haibing Zhao, Lijun Zhu, Yinghui Xu:
Multi-agent Path Planning with Non-constant Velocity Motion. 2069-2071 - Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko, Gustav Eje Henter, Hedvig Kjellström:
On the Importance of Representations for Speech-Driven Gesture Generation. 2072-2074 - Anagha Kulkarni, Yantian Zha, Tathagata Chakraborti, Satya Gautam Vadlamudi, Yu Zhang, Subbarao Kambhampati:
Explicable Planning as Minimizing Distance from Expected Behavior. 2075-2077 - Sumit Kumar, Wenhao Luo, George Kantor, Katia P. Sycara:
Active Learning with Gaussian Processes for High Throughput Phenotyping. 2078-2080 - Isaac Lage, Daphna Lifschitz, Finale Doshi-Velez, Ofra Amir:
Toward Robust Policy Summarization. 2081-2083 - Michael William Lanighan, Roderic A. Grupen:
Long-term Autonomous Mobile Manipulation under Uncertainty. 2084-2086 - Haralambie Leahu, Michael Kaisers, Tim Baarslag:
Preference Learning in Automated Negotiation Using Gaussian Uncertainty Models. 2087-2089 - Donghun Lee, Warren B. Powell:
Meta-learning of Bidding Agent with Knowledge Gradient in a Fully Agent-based Sponsored Search Auction Simulator. 2090-2092 - Priel Levy, David Sarne, Yonatan Aumann:
Selective Information Disclosure in Contests. 2093-2095 - Jialian Li, Tongzheng Ren, Hang Su, Jun Zhu:
Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent. 2096-2098 - Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang:
Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes. 2099-2101 - Matteo Luperto, Danilo Fusi, N. Alberto Borghese, Francesco Amigoni:
Exploiting Inaccurate A Priori Knowledge in Robot Exploration. 2102-2104 - Manao Machida:
Polynomial-Time Multi-Agent Pathfinding with Heterogeneous and Self-Interested Agents. 2105-2107 - Marco Maier, Chadly Marouane, Daniel Elsner:
DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. 2108-2110 - Padala Manisha, Sujit Gujar:
Thompson Sampling Based Multi-Armed-Bandit Mechanism Using Neural Networks. 2111-2113 - Stefano Mariani, Angelo Croatti, Alessandro Ricci, Andrea Prati, Giuseppe Vizzari:
ViTALiSE: Virtual to Augmented Loop in Smart Environments. 2114-2116 - Borislav Mavrin, Shangtong Zhang, Hengshuai Yao, Linglong Kong:
Exploration in the Face of Parametric and Intrinsic Uncertainties. 2117-2119 - Reshef Meir:
Strategyproof Facility Location for Three Agents on a Circle. 2120-2122 - Jacob Menashe, Peter Stone:
Escape Room: A Configurable Testbed for Hierarchical Reinforcement Learning. 2123-2125 - John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Object Exchangability in Reinforcement Learning. 2126-2128 - Yuki Miyashita, Toshiharu Sugawara:
Coordination Structures Generated by Deep Reinforcement Learning in Distributed Task Executions. 2129-2131 - Akshay Narayan, Tze-Yun Leong:
Effects of Task Similarity on Policy Transfer with Selective Exploration in Reinforcement Learning. 2132-2134 - Setareh Nasihati Gilani, David R. Traum, Rachel Sortino, Grady Gallagher, Kailyn Aaron-Lozano, Cryss Padilla, Ari Shapiro, Jason Lamberton, Laura-Ann Petitto:
Can a Virtual Human Facilitate Language Learning in a Young Baby? 2135-2137 - Aadesh Neupane, Michael A. Goodrich:
Designing Emergent Swarm Behaviors using Behavior Trees and Grammatical Evolution. 2138-2140 - Hoang Nga Nguyen, Abdur Rakib:
Probabilistic Resource-bounded Alternating-time Temporal Logic. 2141-2143 - Arianna Novaro, Umberto Grandi, Dominique Longin, Emiliano Lorini:
Strategic Majoritarian Voting with Propositional Goals. 2144-2146 - Suman Ojha, Jonathan Vitale, Syed Ali Raza, Richard Billingsley, Mary-Anne Williams:
Integrating Personality and Mood with Agent Emotions. 2147-2149 - Keisuke Otaki, Satoshi Koide, Ayano Okoso, Tomoki Nishi:
Cooperative Routing with Heterogeneous Vehicles. 2150-2152 - Aldo Pacchiano, Yoram Bachrach:
Computing Stable Solutions in Threshold Network Flow Games With Bounded Treewidth. 2153-2155 - Simon Pageaud, Véronique Deslandres, Vassilissa Lehoux, Salima Hassas:
Multiagent Learning and Coordination with Clustered Deep Q-Network. 2156-2158 - Theodore J. Perkins:
Optimal Risk in Multiagent Blind Tournaments. 2159-2161 - Thomy Phan, Kyrill Schmid, Lenz Belzner, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien:
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. 2162-2164 - Nico Potyka:
A Polynomial-time Fragment of Epistemic Probabilistic Argumentation. 2165-2167 - Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Milind Tambe:
Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks. 2168-2170 - Sai Koti Reddy Danda, Amrita Saha, Srikanth G. Tamilselvam, Priyanka Agrawal, Pankaj Dayama:
Risk Averse Reinforcement Learning for Mixed Multi-agent Environments. 2171-2173 - Golden Rockefeller, Patrick Mannion, Kagan Tumer:
Curriculum Learning for Tightly Coupled Multiagent Systems. 2174-2176 - Pierre Rust, Gauthier Picard, Fano Ramparany:
Installing Resilience in Distributed Constraint Optimization Operated by Physical Multi-Agent Systems. 2177-2179 - Himangshu Saikia, Fangkai Yang, Christopher Peters:
Priority driven Local Optimization for Crowd Simulation. 2180-2182 - Yakoub Salhi:
Entailment Functions and Reasoning Under Inconsistency. 2183-2185 - Mikayel Samvelyan, Tabish Rashid, Christian Schröder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson:
The StarCraft Multi-Agent Challenge. 2186-2188 - Hassam Ullah Sheikh, Ladislau Bölöni:
Emergence of Scenario-Appropriate Collaborative Behaviors for Teams of Robotic Bodyguards. 2189-2191 - Shusuke Shigenaka, Shunki Takami, Yoshihiko Ozaki, Masaki Onishi, Tomohisa Yamashita, Itsuki Noda:
Evaluation of Optimization for Pedestrian Route Guidance in Real-world Crowded Scene. 2192-2194 - Maayan Shvo, Jakob Buhmann, Mubbasir Kapadia:
Towards Modeling the Interplay of Personality, Motivation, Emotion, and Mood in Social Agents. 2195-2197 - Nikolaos I. Spanoudakis, Charilaos Akasiadis, Georgios Kechagias, Georgios Chalkiadakis:
An Open MAS Services Architecture for the V2G/G2V Problem. 2198-2200 - Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
A Regulation Enforcement Solution for Multi-agent Reinforcement Learning. 2201-2203 - Samarth Swarup, Reza Rezazadegan:
Generating an Agent Taxonomy Using Topological Data Analysis. 2204-2205 - Seiji Takanashi, Makoto Yokoo:
Two-stage N-person Prisoner's Dilemma with Social Preferences. 2206-2208 - Hongyao Tang, Jianye Hao, Li Wang, Zan Wang, Tim Baarslag:
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. 2209-2211 - Zoi Terzopoulou, Ulle Endriss:
Rethinking the Neutrality Axiom in Judgment Aggregation. 2212-2214 - Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld:
General-Sum Cyber Deception Games under Partial Attacker Valuation Information. 2215-2217 - Madhura Thosar, Christian A. Mueller, Sebastian Zug, Max Pfingsthorn:
Towards a Prototypical Approach to Tool-Use Improvisation. 2218-2219 - Sutasinee Thovuttikul, Yoshimasa Ohmoto, Toyoaki Nishida:
The Effect of First- and Third-person POVs on Different Cultural Communication: How Japanese People Understand Social Conversation at Thai Night Flea Markets. 2220-2222 - Myrthe L. Tielman, Catholijn M. Jonker, M. Birna van Riemsdijk:
Deriving Norms from Actions, Values and Context. 2223-2225 - Manan Tomar, Akhil Sathuluri, Balaraman Ravindran:
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. 2226-2228 - Faraz Torabi, Garrett Warnell, Peter Stone:
Adversarial Imitation Learning from State-only Demonstrations. 2229-2231 - Gianluca Torta, Roberto Micalizio, Samuele Sormano:
Explaining Failures Propagations in the Execution of Multi-Agent Temporal Plans. 2232-2234 - Rohith Dwarakanath Vallam, Ramasuri Narayanam, Srikanth G. Tamilselvam, Nicholas Mattei, Sudhanshu S. Singh, Shweta Garg, Gyana R. Parija:
DeepAggregation: A New Approach for Aggregating Incomplete Ranked Lists using Multi-Layer Graph Embedding. 2235-2237 - Colin Vandenhof, Edith Law:
Contradict the Machine: A Hybrid Approach to Identifying Unknown Unknowns. 2238-2240 - Vivek Shankar Varadharajan, Bram Adams, Giovanni Beltrame:
The Unbroken Telephone Game: Keeping Swarms Connected. 2241-2243 - Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura:
Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions. 2244-2246 - Kyle Vedder, Joydeep Biswas:
X*: Anytime Multiagent Planning With Bounded Search. 2247-2249 - Richa Verma, Sarmimala Saikia, Harshad Khadilkar, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan:
A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports. 2250-2252 - Jiangxing Wang, Jiaoyang Li, Hang Ma, Sven Koenig, T. K. Satish Kumar:
A New Constraint Satisfaction Perspective on Multi-Agent Path Finding: Preliminary Results. 2253-2255 - Shiheng Wang, Fangzhen Lin:
Invincible Strategies of Iterated Prisoner's Dilemma. 2256-2258 - Wanyuan Wang, Zichen Dong, Bo An, Yichuan Jiang:
Efficient City-Scale Patrolling Using Decomposition and Grafting. 2259-2261 - Kacper Wardega, Roberto Tron, Wenchao Li:
Masquerade Attack Detection Through Observation Planning for Multi-Robot Systems. 2262-2264 - Ermo Wei, Drew Wicke, Sean Luke:
Multiagent Adversarial Inverse Reinforcement Learning. 2265-2266 - Nic Wilson:
Generating Voting Rules from Random Relations. 2267-2269 - Kyle Hollins Wray, Shlomo Zilberstein:
Policy Networks: A Framework for Scalable Integration of Multiple Decision-Making Models. 2270-2272 - Shangyu Xie, Yuan Hong, Peng-Jun Wan:
A Privacy Preserving Multiagent System for Load Balancing in the Smart Grid. 2273-2275 - Ruiyang Xu, Karl J. Lieberherr:
Learning Self-Game-Play Agents for Combinatorial Optimization Problems. 2276-2278 - Bo Yan, Kexiu Song, Jiamou Liu, Fanku Meng, Yiping Liu, Hongyi Su:
On the Maximization of Influence Over an Unknown Social Network. 2279-2281 - Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yan Zheng, Chongjie Zhang, Ze Zheng:
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. 2282-2284 - Yaodong Yang, Jianye Hao, Yan Zheng, Xiaotian Hao, Bofeng Fu:
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework. 2285-2287 - Yi Yang, Quan Bai, Qing Liu:
Modeling Random Guessing and Task Difficulty for Truth Inference in Crowdsourcing. 2288-2290 - Yongjie Yang, Jianxin Wang:
Complexity of Additive Committee Selection with Outliers. 2291-2293 - Nutchanon Yongsatianchot, Stacy Marsella:
Modeling Human Decision-Making during Hurricanes: From Model to Data Collection to Prediction. 2294-2296 - Chao Yu, Xin Wang, Zhanbo Feng:
Coordinated Multiagent Reinforcement Learning for Teams of Mobile Sensing Robots. 2297-2299 - Han Yu, Zhiqi Shen, Lizhen Cui, Yongqing Zheng, Victor R. Lesser:
Ethically Aligned Multi-agent Coordination to Enhance Social Welfare. 2300-2302 - Alon Zanbar, Gal A. Kaminka:
Is Agent Software More Complex than Other Software? 2303-2305 - Hedayat Zarkoob, Hu Fu, Kevin Leyton-Brown:
Report-Sensitive Spot-checking in Peer Grading Systems. 2306-2308 - Nicholas Zerbel, Logan Yliniemi:
Multiagent Monte Carlo Tree Search. 2309-2311 - Jianyu Zhang, Jianye Hao, Françoise Fogelman-Soulié, Zan Wang:
Automatic Feature Engineering by Deep Reinforcement Learning. 2312-2314 - Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates, Geoffrey J. Gordon:
Deep Generative and Discriminative Domain Adaptation. 2315-2317 - Wei-Ye Zhao, Jian Peng:
Stochastic Variance Reduction for Deep Q-learning. 2318-2320 - Yuhang Zhao, Xiujun Ma:
Learning Efficient Communication in Cooperative Multi-Agent Environment. 2321-2323 - Changxi Zhu, Ho-fung Leung, Shuyue Hu, Yi Cai:
A Q-values Sharing Framework for Multiple Independent Q-learners. 2324-2326
Demonstrations
- João Paulo Aires, Roger Granada, Felipe Meneguzzi:
ConCon: A Contract Conflict Identifier. 2327-2329 - Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi:
Implementing Business Processes in JaCaMo+ by Exploiting Accountability and Responsibility. 2330-2332 - Roman Barták, Ivan Krasicenko, Jirí Svancara:
Multi-Agent Path Finding on Real Robots. 2333-2335 - Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
Using Game Theory in Real Time in the Real World: A Conservation Case Study. 2336-2338 - Mason Bretan, Siddharth Sanan, Larry P. Heck:
Learning an Effective Control Policy for a Robotic Drumstick via Self-Supervision. 2339-2341 - Alberto Castellini, Francesco Masillo, Riccardo Sartea, Alessandro Farinelli:
eXplainable Modeling (XM): Data Analysis for Intelligent Agents. 2342-2344 - Martin Chapman, Panagiotis Balatsoukas, Mark Ashworth, Vasa Curcin, Nadin Kökciyan, Kai Essers, Isabel Sassoon, Sanjay Modgil, Simon Parsons, Elizabeth I. Sklar:
Computational Argumentation-based Clinical Decision Support. 2345-2347 - Siqi Chen, Yonghao Cui, Cong Shang, Jianye Hao, Gerhard Weiss:
ONECG: Online Negotiation Environment for Coalitional Games. 2348-2350 - Filipa Correia, Samuel Mascarenhas, Samuel Gomes, Silvia Tulli, Fernando P. Santos, Francisco C. Santos, Rui Prada, Francisco S. Melo, Ana Paiva:
For The Record - A Public Goods Game For Exploring Human-Robot Collaboration. 2351-2353 - Deepeka Garg, Maria Chli, George Vogiatzis:
Traffic3D: A New Traffic Simulation Paradigm. 2354-2356 - Manuel Guimarães, Samuel Mascarenhas, Rui Prada, Pedro Alexandre Santos, João Dias:
An Accessible Toolkit for the Creation of Socio-EmotionalAgents. 2357-2359 - Seyed Ali Hosseini, Diarmid Campbell, Marco Favorito, Jonathan Ward:
Peer-to-Peer Negotiation for Optimising Journeys of Electric Vehicles on a Tour of Europe. 2360-2362 - Martin Jedwabny, Pierre Bisquert, Madalina Croitoru:
PAPOW: Papow Aggregates Preferences and Orderings to select Winners. 2363-2365 - Amin Karamlou, Kristijonas Cyras, Francesca Toni:
Deciding the Winner of a Debate Using Bipolar Argumentation. 2366-2368 - Muralidhar Konda, Pradeep Varakantham, Aayush Saxena, Meghna Lowalekar:
RE-ORG: An Online Repositioning Guidance Agent. 2369-2371 - Damian Kurpiewski, Wojciech Jamroga, Michal Knapik:
STV: Model Checking for Strategies under Imperfect Information. 2372-2374 - Tiago Pinto, Zita A. Vale:
ALBidS: A Decision Support System for Strategic Bidding in Electricity Markets. 2375-2377 - Tiago Pinto, Gabriel Santos, Zita A. Vale:
Practical Application of a Multi-Agent Systems Society for Energy Management and Control. 2378-2380 - Luke Riley, Grammateia Kotsialou, Amrita Dhillon, Toktam Mahmoodi, Peter McBurney, Richard Pearce:
Deploying a Shareholder Rights Management System onto a Distributed Ledger. 2381-2383 - Francisco Silva, Tiago Pinto, Zita A. Vale:
Decision Support System for Opponents Selection in Electricity Markets Bilateral Negotiations. 2384-2386 - David St-Onge, Vivek Shankar Varadharajan, Giovanni Beltrame:
Tangible Robotic Fleet Control. 2387-2389 - Bruno Yun, Madalina Croitoru, Srdjan Vesic, Pierre Bisquert:
NAKED: N-Ary Graphs from Knowledge Bases Expressed in Datalog±. 2390-2392
Doctoral Consortium
- Mohammad Mehdi Afsar:
Intelligent Multi-Purpose Healthcare Bot Facilitating Shared Decision Making. 2393-2395 - Mattias Appelgren:
Teaching Agents Through Correction. 2396-2398 - Nikhil Bhargava:
Multi-Agent Coordination under Uncertain Communication. 2399-2401 - Elizabeth Bondi:
Bridging the Gap Between High-Level Reasoning in Strategic Agent Coordination and Low-Level Agent Development. 2402-2404 - Yunshu Du:
Improving Deep Reinforcement Learning via Transfer. 2405-2407 - Mojgan Hashemian:
Persuasive Social Robots using Social Power Dynamics. 2408-2410 - Khoi D. Hoang:
Proactive Distributed Constraint Optimization Problems. 2411-2413 - Tobias Hogrebe:
Complexity of Distances in Elections: Doctoral Consortium. 2414-2416 - Ridi Hossain:
Sharing is Caring: Dynamic Mechanism for Shared Resource Ownership. 2417-2419 - Patrik Jonell:
Using Social and Physiological Signals for User Adaptation in Conversational Agents. 2420-2422 - Timotheus Kampik:
Empathic Agents: A Hybrid Normative/Consequentialistic Approach. 2423-2425 - Vera A. Kazakova:
Adaptable Decentralized Task Allocation of Swarm Agents. 2426-2428 - Bo Li:
Mechanism Design with Unstructured Beliefs. 2429-2431 - Prashan Madumal:
Explainable Agency in Intelligent Agents: Doctoral Consortium. 2432-2434 - Louise Molitor:
Strategic Location and Network Formation Games. 2435-2437 - Andreea-Oana Petac:
Conversational Narrative Interfaces for Sensemaking. 2438-2440 - Jacob Schlueter:
Novel Hedonic Games and Lottery Systems. 2441-2443 - Garima Shakya:
Problems in Computational Mechanism Design. 2444-2446 - Felipe Leno da Silva:
Integrating Agent Advice and Previous Task Solutions in Multiagent Reinforcement Learning. 2447-2448 - Martin Strobel:
Aspects of Transparency in Machine Learning. 2449-2451 - Xintong Wang:
Studies on the Computational Modeling and Design of Financial Markets. 2452-2454 - Su Zhang:
Enhanced Learning from Multiple Demonstrations with a Flexible Two-level Structure Approach. 2455-2457
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