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Summer 2020 study sessions

Resources

For the first part of the meetup, we will be following David Silver's UCL course on RL. Links to the videos and slides of this course are given in the schedule. This course gives a good overview of reinforcement learning (RL), where Silver gives many examples of applications to games. Throught the videos we will see that RL is not limited to games but a wide array of problems where there is sequential decision making under uncertainty.

Following Silver's course, we will follow OpenAI's Spinning Up RL for an introduction to deep RL.

The reference text we will use is Sutton and Barto's Reinforcement Learning: An Introduction, which has a free PDF version.

There are a number of courses on RL with lecture videos available from. Each of the below courses also have good resources linked in their webpages.

Schedule

Meeting times 12PM Pacific Time. The schedule is subject to change based on user participation.

To sign up to lead a session, indicate your interest on the signup sheet.

Date Topic Resources Leader
06/21/20 Introduction to Reinforcement Learning Video; Slides; Chapter 1 - Sutton; Meetup slides Chase
06/28/20 Markov Decision Process Video Slides Chapter 3 - Sutton Harish
07/12/20 Planning by Dynamic Programming Video Slides Chapter 4 - Sutton Shubhangi
07/19/20 Model Free Prediction Video Slides Chapter 6&7 - Sutton Saeid A.
07/26/20 Model Free Control Video Slides Chapter 6&7 - Sutton Carlos
08/02/20 Value Function Approximation Video Slides Chapter 9 - Sutton Tyler
08/09/20 Policy Gradient Methods Video Slides Chapter 13 - Sutton Joe S.
08/16/20 Integrating Learning and Planning Video Slides
08/23/20 Exploration vs Exploitation Video Slides Adam
09/06/20 Hands on – Use Spinning Up OpenAI's Spinning Up RL
09/13/20 Hands on – Use Spinning Up
09/20/20 Hands on – Use Spinning Up
09/27/20 Hands on – Use Spinning Up
10/04/20 Hands on – Use Spinning Up Kaushik P.

Hands on learning

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