Deepmind x UCL | Reinforcement Learning Course | 2021

this repo contains all of the lecture slides for Deepmind x UCL RL course taught in 2021.

• presenters: Hado van Hasselt, Diana Borsa, Matteo Hessel

• youtube playlist

• all slides available as a single pdf file: All Lectures

Slides

1. Lecture 1 - introduction
2. Lecture 2- Exploration and control_slides
3. Lecture 3 - MDPs and Dynamic Programming
4. Lecture 4 - Theoretical Fundamentals of DP Algorithms
5. Lecture 5 - ModelFreePrediction
6. Lecture 6 - Model-free control
7. Lecture 7- Function approximation in reinforcement learning
8. Lecture 8 - Model Based Reinforcement Learning
9. Lecture 9- Policy gradients and actor critics
10. Lecture 10- Approximate Dynamic Programming
11. Lecture 11- Off-policy and multi-step
12. Lecture 12- Deep RL 1
13. Lecture 13 - Deep RL 2