UMRL Seminar Series

The UMRL seminar series is a student-organized and student-run seminar series for RL research enthusiasts (faculties and students) at the University of Michigan, Ann Arbor, and beyond. We envision it as an opportunity for knowledge sharing and RL discussions from diverse fields of study under a relaxed atmosphere. The topics of this seminar include Deep RL, Theoretical RL & Bandit Algorithms, RL Systems, RL applications / RL robotics, RLHF, and Multi-Agent RL. It would be a good opportunity to share your research, practice your job talk, and generate feedback/ideas for current and future research. Interested in sharing your work? Please feel free to reach out to our organizing committee.

Organizing Commitee

• Kellen Kanarios (ECE)
  

• Qining Zhang (ECE)

• Chinmaya Kausik (Mathematics)

Schedules

Winter 2025

1. Chinmaya Kausik
   Ph.D. Candidate, Mathematics, University of Michigan.
   Leveraging Offline Data in Latent Decision Processes. (recording)
   2:30 PM (EST), Feb. 7th, 2025.

2. Wilka Carvalho
   Research Fellow, Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard.
   Scaling up Reinforcement Learning Theories of Cognition: Towards Human-Like Deep Reinforcement Learning. (recording)
   2:30 PM (EST), Feb. 28th, 2025.

3. Andrew Wagenmaker
   Postdoctoral Researcher, Electrical Engineering and Computer Science, UC Berkeley.
   TBD.
   2:30 PM (EST), Mar. 21st, 2025.

4. Laixi Shi
   Postdoctoral Fellow, CMS, Caltech.
   TBD.
   2:30 PM (EST), Apr. 4th, 2025.