This is a draft schedule and is subject to change.

Week	Date	Broad Area	Reading List	Slides / Video
1	Aug 20	Course Intro		Lecture 1 Slides
	Aug 22	Intro to RL		Lecture 2 Slides
2	Aug 27	RL Methods Overview		Lecture 3 Slides
	Aug 29	Policy Gradients		Lecture 4 Slides
3	Sep 3	Actor Critic Methods		Lecture 5 Slides
	Sep 5	Value Function Methods		Lecture 6 Slides
4	Sep 10	Deep RL with Q Functions		Lecture 7 Slides
	Sep 12	Advanced Policy Gradients		Lecture 8 Slides
5	Sep 17	Optimal Control and Planning		Lecture 9 Slides
	Sep 19	Model-Based Reinforcement Learning
6	Sep 24	Model-Based Policy Learning
	Sep 26	Differentiable Simulation + RL
7	Oct 1	Exploration 1
	Oct 3	Exploration 2
8	Oct 8	Inverse RL 1
	Oct 10	Inverse RL 2
9	Oct 15	Fall Break
	Oct 17	Hierarchical RL
10	Oct 22	Constrained RL
	Oct 24	Multi Agent RL
11	Oct 29	Behavior Cloning 1
	Oct 31	Behavior Cloning 2
12	Nov 5	Offline Reinforcement Learning
	Nov 7	Guest Lecture
13	Nov 12
	Nov 14	RL with Sequence Models
14	Nov 19	Meta Learning and Transfer Learning
	Nov 21	RL with Human Feedback (RLHF)
15	Nov 26	Challenges and Open Problems
	Nov 28	Thanksgiving
16	Dec 3	Guest Lecture
	Dec 5