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ORCIDArtemij Amiranashvili
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2020 – today
- 2024
[c5]Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters:
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. ICLR 2024- 2022
- [c4]Philipp Schröppel, Jan Bechtold, Artemij Amiranashvili, Thomas Brox:
A Benchmark and a Baseline for Robust Multi-view Depth Estimation. 3DV 2022: 637-645 - [i7]Philipp Schröppel, Jan Bechtold, Artemij Amiranashvili, Thomas Brox:
A Benchmark and a Baseline for Robust Multi-view Depth Estimation. CoRR abs/2209.06681 (2022) - 2021
- [i6]Artemij Amiranashvili, Max Argus, Lukás Hermann, Wolfram Burgard, Thomas Brox:
Pre-training of Deep RL Agents for Improved Learning under Domain Randomization. CoRR abs/2104.14386 (2021) - 2020
- [c3]Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox:
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. ICRA 2020: 6498-6505 - [i5]Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox:
Scaling Imitation Learning in Minecraft. CoRR abs/2007.02701 (2020)
2010 – 2019
- 2019
- [i4]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
Motion Perception in Reinforcement Learning with Dynamic Objects. CoRR abs/1901.03162 (2019) - [i3]Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus
, Artemij Amiranashvili, Thomas Brox, Jan Peters:
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. CoRR abs/1902.05605 (2019) - [i2]Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox:
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. CoRR abs/1910.07972 (2019) - 2018
- [c2]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
Motion Perception in Reinforcement Learning with Dynamic Objects. CoRL 2018: 156-168 - [c1]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. ICLR (Poster) 2018 - [i1]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. CoRR abs/1806.01175 (2018)
Coauthor Index
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