About this document
2025 - 08 - Q-Learning, SARSA by Ali is a document available to read on EtoBox.
The document discusses reinforcement learning techniques, specifically Q-Learning and SARSA, focusing on policy iteration and approximate policy evaluation methods. It outlines the procedures for generating data through roll-in and roll-out methods to estimate Q-values, and emphasizes the importance of function approximators for large state spaces. Additionally, it highlights the strengths and weaknesses of Monte-Carlo methods and temporal difference learning in estimating returns and improving policy perfo
- Author
- Ali
- Language
- EN