Join the Multi-Agent Reinforcement Learning Reading Group at UMD, College Park!
Hey there! Are you interested in Artificial Intelligence, Autonomous Decision Making, and Multi-Agent Learning? Look no further! The Multi-Agent Reinforcement Learning (MARL) Reading Group at UMD, College Park is the perfect place for you.
Organized by Saptarashmi Bandyopadhyay and co-organized by Ryan Sullivan, this reading group is focused on exploring various AI paradigms, including Multi-Agent Learning, Multimodal Learning, Meta-Learning, Reinforcement Learning, Imitation Learning, Self-Supervised Learning, Compositional Learning, Curriculum Learning, Predictive Control, In-context Learning, and Game Theoretic insights in AI.
Join us and be part of our open-source Multi-Agent AI Research Community, where you can promote open-source code and models, publish research papers, network with other like-minded individuals, and reduce compute dependency of Machine Learning models.
Don’t miss out on our upcoming talks from Petar Velickovic from Google DeepMind on July 30, Ruofei Du from Google on August 6, and Prateek Jain from Google DeepMind on September 3.
To join, simply fill out the registration form on our website.
We look forward to seeing you there!