Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning

Study coordinated attacks on cooperating agents and learn team policies that can withstand them.

The Wolfpack attack targets an initial agent and the teammates that assist it. Wolfpack-Adversarial Learning for MARL (WALL) trains policies against this coordinated disruption to improve robustness across the team.