kyoonkwon/rl-study

rl-study

Practice codes of reinforcement learning study

Book

• 단단한 강화학습 (Korean version of Reinforcement Learning : an introduction by Richard S. Sutton and Andrew G. Barto)

contents

1. Tabular Solution Methods

   1. Multi-arm Bandits

   2. Finite Markov Decision Processes

   3. Dynamic Programming

   4. Monte Carlo Methods

   5. Temporal-Difference Learning

   6. Eligibility Traces

   7. Planning and Learning with Tabular Methods

2. Approximate Solution Methods

3. Frontiers