SafeDiSTL: Decomposing Joint Constraints for Safe Multi-Agent Reinforcement Learning.

arXiv:2610.13737v1 Announce Type: cross Abstract: Cooperative multi-agent tasks often impose constraints on a shared objective or collective safety. A team level violation cost function can measure this constraint outcome, but does not distinguish which agents