DYNAMIC PROGRAMMING/REINFORCEMENT LEARNING COURSES, VIDEOS, AND SLIDES :

Links to the current Course at Arizona State University, on Topics in Reinforcement Learning, Spring 2021; Class Notes, Videolectures, and Slides.

A series of 13 Videolectures on Reinforcement Learning and Optimal Control: Course at Arizona State University, JanuaryMarch 2019.
 Video of a Onehour Overview Lecture on Multiagent RL, Rollout, and Policy Iteration at ASU, Oct. 2020. Click here for the Slides from the lecture.
 Video of a Onehour Overview Lecture on Distributed RL at IPAM workshop at UCLA, Feb. 2020. Click here for the slides from the lecture.

An extended lecture/slides summary of the book Reinforcement Learning and Optimal Control: Ten Key Ideas for Reinforcement Learning and Optimal Control

Overview lecture on Reinforcement Learning and Optimal Control: Video of book overview lecture at Stanford University, March 2019. Click here for the slides from the lecture.

Lecture on FeatureBased Aggregation and Deep Reinforcement Learning: Video from a lecture at Arizona State University, on 4/26/18. Video from Youtube, and Lecture Slides. Based on the paper "FeatureBased Aggregation and Deep Reinforcement Learning: A Survey and Some New Implementations", Lab. for Information and Decision
Systems Report, MIT, April 2018; http://arxiv.org/abs/1804.04577.
 A series of 5 Videolectures on Abstract Dynamic Programming and corresponding slides posted at Youtube.

Lectures on Exact and Approximate Finite Horizon DP: Videos from a 4lecture, 4hour short course at the University of Cyprus on finite horizon DP, Nicosia, 2017. Videos from Youtube. (Lecture Slides: Lecture 1, Lecture 2, Lecture 3, Lecture 4.) Based on Chapters 1 and 6 of the book Dynamic Programming and Optimal Control, Vol. I, 4th Edition, Athena Scientific.

Lectures on Exact and Approximate Infinite Horizon DP: Videos from a 6lecture, 12hour short course at Tsinghua Univ. on approximate DP, Beijing, China, 2014. From the Tsinghua course site, and from Youtube. (Complete Set of Lecture Slides.) Based on the book Dynamic Programming and Optimal Control, Vol. II, 4th Edition: Approximate Dynamic Programming, Athena Scientific.

Video from a January 2017 slide presentation on the relation of Proximal Algorithms and Temporal Difference Methods, for solving large linear systems of equations. The slides are hard to read at times in the video, so you may wish to download the PDF version of the slides.
See also Related Slides from NIPS 2017
Click here for a Related Report.
Based on the books
Convex Optimization Algorithms,
Nonlinear Programming, 3rd Edition,
and
Dynamic Programming and Optimal Control, Vol. II, 4th Edition: Approximate Dynamic Programming, Athena Scientific.

Video of a survey lecture on Approximate DP research from ADPRL 2014. (Lecture Slides.)
Accessibility
Visits since April 9, 2019