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 ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

SkyChat是一款基于中文GPT-3 api的聊天机器人项目。它可以像chatGPT一样，实现人机聊天、问答、中英文互译、对对联、写古诗等任务。| SkyChat is a Chatbot project based on Chinese GPT3 API. Like chatGPT, it can do human-machine chat, question and answer, and can also complete tasks such as Chinese-English or English-Chinese translation, content continuation, couplets, and Chinese ancient poems writing.

A small Roguelike game that uses Machine Learning to power its entities. Originally used in talks by Ciro & Alessia.

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

Deep Reinforcement Learning in C#

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

Robotic simulation in Unity with ROS integration.

openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.

Demo project using tabular Q-learning algorithm

Make autonomous landing rockets using Deep Reinforcement Learning (Unity ML-Agents)

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

3D RL Volleyball environment built on Unity ML-Agents

Showcase environment for ML-Agents

Total War Battle simulator for AI research

Samples for TensorFlow binding for .NET by Lost Tech

Unity In Editor Deep Learning Tools. Using KerasSharp, TensorflowSharp, Unity MLAgent. In-Editor training and no python needed.

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

This demo is a C# port of ConvNetJS RLDemo (https://cs.stanford.edu/people/karpathy/convnetjs/demo/rldemo.html) by Andrej Karpathy