Uncertainty-Driven Self-Play for Robust Multi-Agent Driving Policies.

arXiv:2610.19714v1 Announce Type: cross Abstract: Learning robust driving policies that generalize beyond their training domain remains a central challenge in motion planning. We propose an uncertainty-driven self-play scheme, in which half of the agents are r