This material is reviewed by Dong-Min Lee.
A reviewed material is Chapter 8. Planning and Learning with Tabular Methods in Reinforcement Learning: An Introduction written by Richard S. Sutton and Andrew G. Barto.
2) Models and Planning
3) Dyna: Integrating Planning, Acting, and Learning
4) When the Model Is Wrong
5) Prioritized Sweeping
6) Expected vs. Sample Updates
7) Trajectory Sampling
8) Planning at Decision Time
9) Heuristic Search
10) Rollout Algorithms
11) Monte Carlo Tree Search
I'm happy to be reviewed Sutton book~!!!
I hope everyone who studies Reinforcement Learning sees this material and help! :)