The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

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

Deep Reinforcement Learning in C#

UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D

3D RL Volleyball environment built on Unity ML-Agents

A Complete Open Source Agent AI Framework For Unity

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Repository for slides & codes of RL Korea Bootcamp

Research into Assault Course for training Active Ragdolls (using MujocoUnity+ml_agents)

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

Unity project with an AI that creates procedural animations of combat defense

Training a car to drive within the lanes in a Unity driving environment

🤖 Creation of an RL environment with Unity, where an agent must learn to survive by moving 🦿 and shooting🔫, using ML-Agents !

Obstacle avoiding self driving car made with Unity ML Agents.

an implemention of some machine learning algorithm under c#

Applying ML-Agents to the Unity's Boat Attack env. ⛵️

Tutorial kit for building a 3D deep reinforcement learning environment with Unity ML-Agents.

Simulation of car parking in different parking lots using Unity ML-Agents

Unity ml-agents RollerBall example and some experiments