Join the Multi-Agent Reinforcement Learning Reading Group at UMD, College Park

Hey UMD CS and ECE students and everyone,

We are excited to invite you to the Multi-Agent Reinforcement Learning (MARL) and Autonomous Decision Making Reading Group at UMD, College Park. This group is organized by Saptarashmi Bandyopadhyay and co-organized by Ryan Sullivan, both 4th year CS PhD Candidates advised by Dr. John Dickerson. The team includes Jack Cole, Anirudh Satheesh, and other talented students.

If you are interested in Artificial Intelligence, Autonomous Decision Making, Multi-Agent Learning, Multimodal Learning, Meta-Learning, Reinforcement Learning, Imitation Learning, Self-Supervised Learning, Compositional Learning, Curriculum Learning, Predictive Control, In-context Learning, Game Theoretic insights in AI, and other AI paradigms, this group is for you. Our aim is to pursue foundational research discussions, brainstorming, and potential collaboration on MARL and autonomous decision making frameworks with various application areas.

Join our open-source Multi-Agent AI Community to promote open-source code and Multi-Agent AI models, research publications, compute efficient solutions, and networking in a dynamic Multi-Agent AI community.

Upcoming talks include Petar Velickovic from Google DeepMind on July 30, Ruofei Du from Google on August 6, and Prateek Jain from Google DeepMind on September 3. More talks will be added soon.

We usually organize the Reading group every Tuesday at 6:30 pm EST virtually on Google Meet and in-person at IRB-5105. Please let us know if you have any questions.

Best Regards,
Saptarashmi Bandyopadhyay
4th Year PhD Candidate of Computer Science
University of Maryland, College Park
Student Researcher Intern at Google AI AR