The paper derives optimal breach and interception strategies for a 3D perimeter-defense game and introduces an embedded mean-field actor-critic method for large-scale defender coordination.
A review of multi-agent perimeter defense games,
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Embedded Mean Field Reinforcement Learning for Perimeter-defense Game
The paper derives optimal breach and interception strategies for a 3D perimeter-defense game and introduces an embedded mean-field actor-critic method for large-scale defender coordination.