基于Pytorch实现的PPO强化学习模型，支持训练各种游戏，如超级马里奥，雪人兄弟，魂斗罗等等。
强化学习中文教程（蘑菇书?），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
An elegant PyTorch deep reinforcement learning library.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
【干货】史上最全的PyTorch学习资源汇总
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Massively Parallel Deep Reinforcement Learning. ?
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
