Interactive Distributionally Robust Multi-Agent Learning with General Function Approximation
This work introduces the robust Multi-Agent Decoupling Coefficient (robust MADC) to characterize the intrinsic exploration complexity arising from strategic interactions and adversarial transition uncertainty, and establishes sublinear robust regret guarantees governed by the robust MADC rather than explicitly by the s...
Debamita Ghosh, George Atia, Yue Wang
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