This Repo contains the code for some of the RL Algorithms from the book - PyTorch 1.x Reinforcement Learning Cookbook by Yuxi (Hayden) Liu
While the algorithms in the book are from Pytorch 1.(x) and Open AI gym, I have used Farama Gymnasium and Pytorch 2.(x). So the implementation might slightly be different.
I have also consulted an online video- Building a Custom Environment for Deep Reinforcement Learning with OpenAI Gym and Python - YouTube for building a 'shower' environment where the goal is to make the agent learn to choose the right actions to get the proper temperature.
Other resources:
- Deep RL Course from Hugging Face - https://huggingface.co/learn/deep-rl-course/unit0/introduction
- Andrew Ng's coursera course on Reinforcement Learning - https://www.coursera.org/learn/unsupervised-learning-recommenders-reinforcement-learning
- Grockking Book on Reinforcement Learning - https://www.manning.com/books/grokking-deep-reinforcement-learning
- A Mathematical Introduction to Reinforcement Learning - https://cims.nyu.edu/~donev/Teaching/WrittenOral/Projects/XintianHan-WrittenAndOral.pdf