Watch AngryPanda_XYZ/chainerrl forked from mirrors_chainer/chainerrl

Watch AngryPanda_XYZ/evolution-strategies-starter

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning", Paper Url: https://arxiv.org/abs/1703.03864

Watch AngryPanda_XYZ/es_maml

论文“ES-MAML: Simple Hessian-Free Meta Learning”的官方原作者代码； 论文地址：https://arxiv.org/abs/1910.01215 代码原地址：https://github.com/google-research/google-research

Watch AngryPanda_XYZ/reverb

Google公司为reinforcement learning算法推出的分布式经验池框架，底层实现为Google的 Protocol Buffer以及gRpc。由于该框架主要为Google的TensorFlow框架以及Google推出的其它各种reinforcement learning框架服务，因此该框架相关文档较少，可用性较差。

Watch AngryPanda_XYZ/tf-agents

tensorflow官方给出的reinforcement learning框架，该框架设计过于复杂现已停止维护，但是由于其作为Google官方推出的强化学习框架还是有一定学习价值的，原地址：https://github.com/tensorflow/agents

Watch AngryPanda_XYZ/scalable_agent

Reinforcement Learning经典论文《IMPALA: Scalable Distributed Deep-RL with Importance WeightedActor-Learner Architectures》的Deepmind官方实现，TensorFlow框架的。

Watch AngryPanda_XYZ/DQN-Atari-Agents

网上找到的一个外国小哥写的DQN及扩展变体算法的代码库。小哥的个人主页：https://by571.github.io/，Github地址：https://github.com/BY571

Watch AngryPanda_XYZ/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Watch AngryPanda_XYZ/warp-drive

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU

Watch AngryPanda_XYZ/gym-super-mario-bros

An OpenAI Gym environment for Super Mario Bros. & Super Mario Bros. 2. 俄罗斯方块Tetris姐妹篇，同样依赖于nes-py库