Reinforcement Learning
Purpose: Implement and tune RL agents, and understand the basis of RLHF.
Outcomes
- Solve small MDPs.
- Implement policy gradients and PPO.
- Explain reward modeling for alignment.
Audience
Practitioners with deep learning basics who want working RL skills.
Courses
- 1C13 · MDPs, Dynamic Programming, and TD Learning4 lessons · 3 hours · 0 published
- 2C14 · Policy Gradients and PPO5 lessons · 4 hours · 0 published
- 3C15 · RLHF Basics5 lessons · 3 hours · 0 published