Escaping Local Views: Discovering Latent Concepts for Interpretable Multi-Agent Reinforcement Learning.

arXiv:2609.34459v1 Announce Type: new Abstract: Efficient cooperation is challenging due to the usual partial observability of each agent in multi-agent reinforcement learning. Recurrent networks encode local interaction histories, but their hidden representat