Conference Schedule

8:00am

9:00am

10:00am

11:00am

12:00pm

1:00pm

2:00pm

3:00pm

4:00pm

5:00pm

6:00pm

7:00pm

8:00pm

9:00pm

Breakfast (provided)

8:30 AM - 9:00 AM

Workshops

9:00 AM - 7:00 PM
InterPol: Room 162 (posters in Room 165) RLBrew: Amherst Room (posters in the Marriott Center) Finding the Frame: Room 168 (posters in room 163) ICBINB: Room 803 (posters in room 905) RLSW: Hadley Room (posters in the Marriott Center) Foundation Models: Room 804 (posters in 805) Deployable RL: Room 904 (posters in 903) CoCoMARL: Room 174 (posters in room 163)

Breakfast (provided)

8:00 AM - 8:30 AM

Opening Remarks

8:30 AM - 9:00 AM

Keynote 1 - Doina Precup

9:00 AM - 10:00 AM

Oral Session 1

10:15 AM - 12:15 PM
Evaluation: Room 168 Theoretical RL, Bandit algorithms: Room 165/169 Multi-agent RL, Planning algorithms: Room 174/176 Deep reinforcement learning: Room 163

Lunch (provided)

12:15 PM - 1:30 PM

Panel 1 - High-impact Applications of RL

1:30 PM - 2:30 PM

Keynote 2 - Sergey Levine

2:30 PM - 3:30 PM

Keynote 3 - Andy Barto

4:00 PM - 5:00 PM

Poster Session

5:00 PM - 7:00 PM

Reception & Best Paper Awards

7:00 PM - 9:00 PM

Breakfast (provided)

8:30 AM - 9:00 AM

Keynote 4 - David Silver

9:00 AM - 10:00 AM

Oral Session 2

10:15 AM - 12:15 PM
RL algorithms: Room 163 Foundations: Room 165/169 Applied reinforcement learning: Room 174/176 RL from human feedback, Imitation Learning: Room 168

Lunch (provided)

12:15 PM - 1:30 PM

Keynote 5 - Finale Doshi-Velez

1:30 PM - 2:30 PM

Keynote 6 - Emma Brunskill

2:30 PM - 3:30 PM

Keynote 7 - Peter Stone

4:00 PM - 5:00 PM

Poster Session

5:00 PM - 7:00 PM

Industry-Academia mixer

7:00 PM - 9:00 PM

Breakfast (provided)

8:30 AM - 9:00 AM

Town Hall

9:00 AM - 10:00 AM

Panel 2 - The Limits of Reward Functions

10:00 AM - 11:00 AM

Oral Session 3

11:30 AM - 12:30 PM
Social and economic aspects: Room 168 Theoretical RL: Room 165/169 Hierarchical RL, Planning algorithms: Room 174/176 Exploration: Room 163

Poster Session

12:30 PM - 2:30 PM