Zhizun Wang, David Meger

Multi-Agent Model-Based Reinforcement Learning with Joint State-Action Learned Embeddings

arXiv:2602.12520v1 Announce Type: new Abstract: Learning to coordinate many agents in partially observable and highly dynamic environments requires both informative representations and data-efficient training. To …