this repo contains all of the lecture slides for Deepmind x UCL RL course taught in 2021.
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presenters: Hado van Hasselt, Diana Borsa, Matteo Hessel
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all slides available as a single pdf file: All Lectures
- Lecture 1 - introduction
- Lecture 2- Exploration and control_slides
- Lecture 3 - MDPs and Dynamic Programming
- Lecture 4 - Theoretical Fundamentals of DP Algorithms
- Lecture 5 - ModelFreePrediction
- Lecture 6 - Model-free control
- Lecture 7- Function approximation in reinforcement learning
- Lecture 8 - Model Based Reinforcement Learning
- Lecture 9- Policy gradients and actor critics
- Lecture 10- Approximate Dynamic Programming
- Lecture 11- Off-policy and multi-step
- Lecture 12- Deep RL 1
- Lecture 13 - Deep RL 2