Reinforcement learning on cue-expectancy data

This repository hosts the data from the cue-expectancy dataset It also hosts code of multiple versions of reinforcement learning, in conjunction with hierarchical linear modeling code.

Folder structure

|- analysis
|- data
|- scripts
|    - rl_matlab
|    - hlm_R

• AI teaches itself to walk without any human help
• Google DeepMind's Deep Q-learning playing Atari Breakout!
• Multi-Agent Hide and Seek

• https://github.com/ADGEfficiency/rl-resources
• https://github.com/aikorea/awesome-rl
• https://rl-book.com/
• https://github.com/dennybritz/reinforcement-learning
• https://compneuro.neuromatch.io/tutorials/W3D4_ReinforcementLearning/chapter_title.html

• https://github.com/FrancescoSaverioZuppichini/Reinforcement-Learning-Cheat-Sheet/blob/master/rl_cheatsheet.pdf
• https://roboticsbiz.com/wp-content/uploads/2021/11/Reinforcement-Learning-Cheatsheet.pdf

• Open AI Deep RL: https://spinningup.openai.com/
• DI engine: https://di-engine-docs.readthedocs.io/en/latest/
• Hugging face: https://huggingface.co/models?pipeline_tag=reinforcement-learning

• OpenAI Spinning Up in Deep RL Workshop
• RL Course by David Silver

• https://www.gocoder.one/blog/rl-tutorial-with-openai-gym/
• colab: https://colab.research.google.com/drive/1gS2aJo711XJodqqPIVIbzgX1ktZzS8d8?usp=sharing#scrollTo=aycxOXzQnoLU
• Open AI docs: https://gymnasium.farama.org/environments/toy_text/taxi/

• Python code: https://github.com/ShangtongZhang/reinforcement-learning-an-introduction
• MATLAB code: https://roboticsbiz.com/wp-content/uploads/2021/11/Reinforcement-Learning-Cheatsheet.pdf