Teaching

Advanced Topics  2015 (COMPM050/COMPGI13)

Reinforcement Learning

Contact: d.silver@cs.ucl.ac.uk

Video-lectures available here

Lecture 1: Introduction to Reinforcement Learning

Lecture 2: Markov Decision Processes

Lecture 3: Planning by Dynamic Programming

Lecture 4: Model-Free Prediction

Lecture 5: Model-Free Control

Lecture 6: Value Function Approximation

Lecture 7: Policy Gradient Methods

Lecture 8: Integrating Learning and Planning

Lecture 9: Exploration and Exploitation

Lecture 10: Case Study: RL in Classic Games

Easy21 assignment

Discussion and announcements: http://groups.google.com/group/csml-advanced-topics

Previous RL exam questions and answers

All of the above material is made available under CC-BY-NC 4.0. Some content comes from third parties and is not included in the license.

@misc{silver2015,
    author = {David Silver},
    title = {Lectures on Reinforcement Learning},
    howpublished = {\textsc{url:}~\url{https://www.davidsilver.uk/teaching/}},
    year = {2015}
}