Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation

no code implementations • 9 May 2023 • Lei Yuan, Feng Chen, Zhongzhang Zhang, Yang Yu

In specific, we introduce a novel message-attacking approach that models the learning of the auxiliary attacker as a cooperative problem under a shared goal to minimize the coordination ability of the ego system, with which every information channel may suffer from distinct message attacks.

Multi-agent Reinforcement Learning