Learning Consensus in Adversarial Environments

  title={Learning Consensus in Adversarial Environments},
  author={Kyriakos G. Vamvoudakis and Luis Rodolfo Garc{\'i}a Carrillo and Jo{\~a}o Pedro Hespanha},
This work presents a game theory-based consensus problem for leaderless multi-agent systems in the presence of adversarial inputs that are introducing disturbance to the dynamics. Given the presence of enemy components and the possibility of malicious cyber attacks compromising the security of networked teams, a position agreement must be reached by the networked mobile team based on environmental changes. The problem is addressed under a distributed decision making framework that is robust to… CONTINUE READING
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