Deep Reinforcement Learning
- 1 Lecture 1
- 2 Lecture 2
- 3 Lecture 3
- 4 Lecture 4: Reinforcement Learning Basics
- 5 Lecture 5: Policy Gradients
- 6 Lecture 6: Actor-Critic Algorithms
- 7 Lecture 7: Value-Based RL
- 8 Lecture 8: $Q$-Learning in Practice
- 9 Lecture 9: Advanced Policy Gradients: Part 1
- 10 Lecture 10: Advanced Policy Gradients: Part 2
- 11 Lecture 11: Variational Inference
- 12 Lecture 12: Variational Inference in RL
- 13 Lecture 13: Control as Variational Inference
- 14 Lecture 14: RL with Sequences and LLMs
- 15 Lecture 15: Model-Based RL
- 16 Lecture 16: Model-Based RL Algorithms
- 17 Lecture 17: Offline Reinforcement Learning
- 18 Lecture 18: Offline RL Algorithms
- 19 Lecture 19: Exploration
- 20 Lecture 20: Reinforcement Learning Theory
- 21 Lecture 21
- 22 Lecture 22
- 23 Lecture 23: Exploration and Skill Learning
- 24 Lecture 24: Multi-Task and Hierarchical RL
- 25 Lecture 25: Challenges and Open Problems