Reinforcement-Learning.md

+# Reinforcement Learning
+
+## Surveys
+- [Awesome Reinforcement Learning](https://github.com/aikorea/awesome-rl)
+- [Deep Reinforcement Learning survey](https://github.com/andrewliao11/Deep-Reinforcement-Learning-Survey)
+- [Awesome Explainable Reinforcement Learning](https://github.com/Plankson/awesome-explainable-reinforcement-learning)
+
+## Courses
+- [CS234: Reinforcement Learning Winter 2023 at Stanford](https://web.stanford.edu/class/cs234/)
+- [CS 285: Deep Reinforcement Learning at UC Berkeley](http://rail.eecs.berkeley.edu/deeprlcourse/)
+- [Introduction to Reinforcement Learning with David Silver at DeepMind](https://www.deepmind.com/learning-resources/introduction-to-reinforcement-learning-with-david-silver)
+- [Deep Reinforcement Learning](https://github.com/wangshusen/DRL) by Shusen Wang
+
+## Tutorials
+- [HuggingFace Deep RL Course](https://huggingface.co/learn/deep-rl-course/unit0/introduction)
+- [Open AI Spinning Up in Deep RL](https://spinningup.openai.com/en/latest/user/introduction.html)
+
+## Books
+- [Reinforcement Learning: An Introduction](http://incompleteideas.net/book/the-book-2nd.html) by Richard S. Sutton and Andrew G. Barto
+- [Deep Reinforcement Learning: Fundamentals, Research and Applications](https://deepreinforcementlearningbook.org/) by Hao Dong, et al.
+- [Deep Reinforcement Learning, a textbook](https://arxiv.org/abs/2201.02135) by Aske Plaat
+
+## Tools
+- [Stable Baselines](https://stable-baselines.readthedocs.io/en/master/)
+- [rllab](https://github.com/rll/rllab)
+- [Gymnasium](https://gymnasium.farama.org/)
+
+## Talks
+- [Sergey Levine - Understanding the World Through Action @ UCL DARK](https://www.youtube.com/watch?v=yXImQEMS77g)
+