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deep-reinforcement-learning
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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.
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
3D RL Volleyball environment built on Unity ML-Agents
UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D
Deep Reinforcement Learning in C#
Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).
Repository for slides & codes of RL Korea Bootcamp
A Complete Open Source Agent AI Framework For Unity
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
🤖 Creation of an RL environment with Unity, where an agent must learn to survive by moving 🦿 and shooting🔫, using ML-Agents !
an implemention of some machine learning algorithm under c#
Training a car to drive within the lanes in a Unity driving environment
Applying ML-Agents to the Unity's Boat Attack env. ⛵️
Obstacle avoiding self driving car made with Unity ML Agents.
Tutorial kit for building a 3D deep reinforcement learning environment with Unity ML-Agents.
Unity ml-agents RollerBall example and some experiments
AI learns to cross the road with Unity ML-Agents (imitation learning or reinforcement learning)
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