Topics
RL Overview
Introduction to reinforcement learning.
Model-Based RL
Learning and using environment models.
Monte Carlo Control
Learning from complete episodes.
SARSA
On-policy temporal difference control.
REINFORCE
Policy gradient methods.
Reinforcement Learning
Reinforcement Learning
Model-free and model-based reinforcement learning algorithms.
This chapter covers reinforcement learning algorithms for learning optimal behavior through interaction with an environment.