MA-JEPA: Joint-Embedding World Models for Multi-Agent Reinforcement Learning

Brandon Gary Kaplowitz, Osaze James Obahor, Christian Schroeder de Witt

World models improve sample efficiency by training policies on imagined trajectories, but their usefulness depends on learning representations that capture the information needed f…