Regret Minimization with Adaptive Opponents in Repeated Games

arXiv·low signal

This theory paper studies regret minimization when opponents adapt based on interaction history, a setting directly relevant to multi-agent systems where agents respond to each other over time. The results inform how self-interested agents should behave in repeated strategic interactions. Foundational signal for designers of multi-agent negotiation and market environments.