强 化 学 习 强化学习 强化学习
一 Python 还能实现哪些 AI 游戏？附上代码一起来一把！
二 伯克利《深度强化学习》更新 | 第十三讲：利用模仿优化控制器学习策略
三 强化学习应用介绍，41页报告带你快速了解RL的最新应用价值
四 强化学习代码资源
PyTorch实现的深度强化学习算法：DQN, AC, ACER, A2C, A3C, , PG, DDPG, TRPO, PPO
五 基于强化学习的因果发现算法
论文地址：
1.https://arxiv.org/abs/1906.04477
2.https://www.aminer.cn/pub/5d06e489da562926acc4cff0/causal-discovery-with-reinforcement-learning
代码地址：
https://github.com/huawei-noah/trustworthyAI
六 强化学习开源实现大列表
照上图，自己对编号吧
| Project | Framework | url |
|---|---|---|
| 3 | https://github.com/openai/baselines | |
| 4 | https://github.com/hill-a/stable-baselines | |
| 5 | https://github.com/catalyst-team/catalyst | |
| 6 | https://github.com/ray-project/ray/tree/master/python/ray/rllib | |
| 7 | https://github.com/tensorflow/agents | |
| 8 | https://github.com/facebookresearch/Horizon | |
| 9 | https://github.com/NervanaSystems/coach | |
| 10 | https://github.com/rlworkgroup/garage | |
| 11 | https://github.com/kengz/SLM-Lab | |
| 12 | https://github.com/google/dopamine | |
| 13 | https://github.com/openai/spinningup | |
| 14 | https://github.com/deepmind/trfl | |
| 15 | https://github.com/deepmind/scalable_agent | |
| 16 | https://github.com/facebookresearch/ELF | |
| 17 | https://github.com/keras-rl/keras-rl | |
| 18 | https://github.com/ikostrikov/pytorch-a2c-ppo-acktr-gail | |
| 19 | https://github.com/Kaixhin/Rainbow | |
| 20 | https://github.com/MillionIntegrals/vel | |
| 21 | https://github.com/Khrylx/PyTorch-RL | |
| 22 | https://github.com/tensorforce/tensorforce | |
| 23 | https://github.com/higgsfield/RL-Adventure | |
| 24 | https://github.com/qfettes/DeepRL-Tutorials | |
| 25 | https://github.com/SurrealAI/surreal | |
| 26 | https://github.com/zuoxingdong/lagom | |
| 27 | https://github.com/dennybritz/reinforcement-learning | |
| 28 | https://github.com/unixpickle/anyrl-py | |
| 29 | https://github.com/Scitator/rl-course-experiments | |
| 30 | https://github.com/oxwhirl/pymarl |
| 35 | https://twitter.com/Scitator | |
| 36 | https://docs.google.com/spreadsheets/d/1ZWhViAwCpRqupA5E_xFHSaBaaBZ1wAjO6PvmmEEpXGI/edit#gid=0 | |
| 38 | https://medium.com/@vermashresth/a-primer-on-deep-reinforcement-learning-frameworks-part-1-6c9ab6a0f555 | |
| 39 | https://www.quora.com/What-are-some-of-the-good-Reinforcement-Learning-libraries |
