Robust and Diverse Multi-Agent Learning via Rational Policy Gradient

Niklas Lauffer, Ameesh Shah, Micah Carroll +3

Adversarial optimization algorithms that explicitly search for flaws in agents' policies have been successfully applied to finding robust and diverse policies in multi-agent settin…