Schedule

This schedule is tentative and subject to change.

DATETOPICDUEREADINGSRECORDINGS
Mar 30 Introduction and Markov Decision Processes Recording
Apr 1 Supervised Learning of Behaviors
Apr 6 Supervised Learning of Behaviors-Part2, Pytorch Tutorial
Apr 8 Policy Gradients Basics HW1 release
Apr 13 Advanced Policy Gradients Project Proposal Latex
Apr 15 Advanced Policy Gradients 2
Apr 20 Paper Readings: Model-Free Reinforcement Learning
Apr 22 Off-Policy RL
Apr 27 Off-Policy RL Part 2
Apr 29 Off-Policy RL Part 3
May 4 Model-Based RL
May 6 Paper Reading: Off-Policy RL HW2 release
May 11 MBRL + Control as Inference Milestone Report Due May 8
May 13 Control as Inference + Unification of MB/MF RL
May 18 RL with Modern Generative Models
May 20 Exploration HW2 Due May 15
May 25 Memorial Day Holiday (No class) HW3 Release
May 27 Guest Lecture (TBD)
Jun 1 Inverse RL
Jun 3 Multi-task and Offline RL
Jun 5 Poster Session (Atrium) Final Report Due June 6