Ezzeldin Shereen

Decentralized Anomaly Detection in Cooperative Multi-Agent Reinforcement Learning

We consider the problem of detecting adversarial attacks against cooperative multi-agent reinforcement learning. We propose a decentralized scheme that allows agents to detect the abnormal behavior of one compromised agent. Our approach is based on a recurrent neural network (RNN) trained during coo…