FAST iteration of MARL research ideas: A starting point for Multi-Agent Reinforcement Learning

A Multiple Quadrotor Environment Compatible With OpenAI Gym

Concise and beautiful algorithms written in Julia

Haskell 101 and 102: slides and codelabs

C++那些事

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.0"

The "Python Machine Learning" book code repository and info resource

TensorFlow implementation of Deep Reinforcement Learning papers

Automatically exported from code.google.com/p/python-graph

Alpha code release for Python Multi-Agent Reinforcement Learning framework

Prioritized Experience Replay (PER) implementation in PyTorch