HOME - Deep Reinforcement Learning

Notes on Deep RL, including the different classes of algorithms, implementation details in code, and applications to robotics, games, etc. Heavily based on the Deep RL course provided by Hugging Face.

Table of Contents

1. The Ingredients of RL
2. Q-Learning
3. Policy Gradient
   1. Actor-Critic Methods
   2. Proximal Policy Optimization (PPO)
4. Offline RL

Applications

Reinforcement Learning from Human Feedback (RLHF)

References

Hugging Face Deep RL Course

CS 285 Berkeley