About this document
RL Lab Manual by 23csu414 is a document available to read on EtoBox.
The document outlines three experiments focused on reinforcement learning (RL) techniques, specifically dynamic programming, value iteration, and Monte Carlo methods. Each experiment includes objectives, outcomes, problem statements, background studies, and Python code implementations for algorithms like policy iteration, value iteration, and Monte Carlo control for Blackjack. The document also features a question bank related to the concepts discussed in each experiment.
- Author
- 23csu414
- Language
- EN