This is a draft schedule and is subject to change.

Week	Date	Broad Area	Reading List	Slides / Video
1	Aug 18	Course Intro		Lecture 1 Slides
	Aug 20	Intro to RL		Lecture 2 Slides
2	Aug 25	RL methods overview		Lecture 3 Slides
	Aug 27	Policy Gradients		Lecture 4 Slides
3	Sep 1 Labor Day	Actor-critic		Lecture 5 Slides
	Sep 3	Value function methods		Lecture 6 Slides
4	Sep 8	Deep RL with Q-Functions		Lecture 7 Slides
	Sep 10	Advanced Policy Gradients		Lecture 8 Slides
5	Sep 15	Optimal Control and Planning		Lecture 9 Slides
	Sep 17	Model-Based Reinforcement Learning
6	Sep 22	Model-Based Reinforcement Learning
	Sep 24	Model-Based Reinforcement Learning
7	Sep 29	Model-Based Policy Learning
	Oct 1	Diff Sim + RL
8	Oct 6 Fall Break	Supervised Learning + Modern Architectures
	Oct 8	Inverse Reinforcement Learning
9	Oct 13	Multi-agent RL
	Oct 15	Offline Reinforcement Learning
10	Oct 20	Exploration
	Oct 22	Exploration
11	Oct 27	Hierarchical RL
	Oct 29	RL with Sequence Models
12	Nov 3	No Class
	Nov 5 Online Lecture
13	Nov 10
	Nov 12	Constrained RL: Safe RL
14	Nov 17	Goal-Conditioned RL, Meta-Learning and Transfer Learning
	Nov 19	RL for Preference alignment
15	Nov 24	Challenges and Open Problems
	Nov 26 Thanksgiving Break
16	Dec 1	final class