Reinforcing the World's Edge: A Continual Learning Problem in the Multi-Agent-World Boundary.

arXiv:2603.06813v3 Announce Type: replace Abstract: Ordinary decentralized multi-agent reinforcement learning presents each focal agent with a continual learning problem: peer updates change its induced rewards and dynamics even when the joint Markov game is s