Deep reinforcement learning and Rainbow.
Table of Contents
- Revisiting Rainbow, Part 1 – Introduction
- Revisiting Rainbow, Part 2 – Q Learning Basics
- Revisiting Rainbow, Part 3 – Deep Q Network
- Revisiting Rainbow, Part 4 – Prioritized Experience Replay
- Revisiting Rainbow, Part 5 – Multi-Step Learning
- Revisiting Rainbow, Part 6 – Double Q Learning
- Revisiting Rainbow, Part 7 – Dueling Networks
- Revisiting Rainbow, Part 8 – Noisy Nets
- Revisiting Rainbow, Part 9 – Distributional Reinforcement Learning
- Revisiting Rainbow, Part 10 – Rainbow
- Revisiting Rainbow, Part 11 – Revisiting Rainbow
Recently, I’ve been interested in learning more about reinforcement learning. The impetus for this presentation is this paper, Revisiting Rainbow, that came out at ICML this year, 2021. In it, the authors build on some earlier breakthroughs, so I decided that this would be a good time to review those earlier breakthroughs in more depth, so I could understand this paper better.