- This is where I write various RL algorithms in python.
- Will keep updating as I keep learning more.
- Will try to document as well as I can
Currently my only source for learning is "Reinforcement Learning: An Introduction book by Andrew Barto and Richard S. Sutton"
- random walk from Sutton and Barto's book
- Model dependent
- Value iteration
- Policy iteration
- Model independent
- Q-learning (TD0)
- SARSA (TD0)
- Expected SARSA (TD0)
- TD-lambda methods
- k-step SARSA
- Gauss-Seidel Value iteration
- Asynchronous Value iteration
- More from here