COMRAD: A Benchmark for Embodied Multi-Agent Reinforcement Learning

Khoi H.B. Nguyen, Dimitar Zhivkov Zhekov, Tristan Tomilin,

10:00 - 10:15

Collaborating in Multi-Armed Bandits with Strategic Agents

Idan Barnea, Ofir Schlisselberg, Yishay Mansour,

10:15 - 10:30

A Separation Principle for Cooperative Multi-Agent Reinforcement Learning

Lucia Pezzetti, Nicolas Lanzetti, Antonio Terpin, Florian Dorfler, Giorgia Ramponi,

15:00 - 15:15

Minimax PAC Bounds for Learning in Exogenous Contextual MDPs

Corentin Pla, Hugo Richard, Marc Abeille, Vianney Perchet,

15:15 - 15:30