Reinforcement Learning

Chapters

1. Reinforcement-Learning FoundationsScaffold
2. Markov Decision ProcessesScaffold
3. Value Functions and Bellman EquationsScaffold
4. Temporal-Difference LearningScaffold
5. Q-LearningScaffold
6. Policy GradientsScaffold
7. Actor-Critic MethodsScaffold
8. Model-Based Reinforcement LearningScaffold
9. ExplorationScaffold
10. Offline Reinforcement LearningScaffold
11. Imitation LearningScaffold

Books

• Reinforcement Learning and Optimal ControlDimitri Bertsekas
• Reinforcement Learning: An IntroductionRichard Sutton, Andrew Barto
• Algorithms for Reinforcement LearningCsaba Szepesvári

Portfolio

No demos for this domain.

Writing

No published writing for this domain.