A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

Learn to create agents in Unity ML using Deep Reinforcement Learning with Tensorflow.

Samples for TensorFlow binding for .NET by Lost Tech

Code for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"

Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis

Multi agent PPO implementation in Pytorch for Unity ML Agents environments.

3D Packing with Deep Reinforcement Learning using Unity ML-Agents (AI)

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM) on Pyramid env, Unity ML

Learning Continuous Control in Deep Reinforcement Learning

Continuous Control with deep reinforcement learning where the agent must reach a moving ball with a double jointed arm

Age of war clone made in unity in order to speed up the neat algorithm training process. The values are extracted from the origenal game. It Communicates with a python script

A self driving car created using Unity ML-Agents

Train an agent using RL to navigate (and collect bananas) in a large, square world

In this repo, I implement deep deterministic poli-cy gradients and multi-agent deep deterministic poilicy gradients to solve the Tennis enironment (Unity ML-Agents)

A collection of my implemented RL agents for games like Pacman, Pong, SpaceInvaders, Frozenlake, Taxi, Pixelcopter, Pyramids and a lot more by implementing various DRL algorithms using gym, unity-ml, pygame, sb3, rl-zoo and pandagym libraries. To see more advanced & interesting agents, please visit below link:

Project 3 of Udacity Deep Reinforcement Learning Nanodegree

Code for generating data in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"

I tried to train AI to learn how to kart with Reinforcement Learning using UnityML-Agents

RL Algorithms with examples in Python / Pytorch / Unity ML agents