PC3D trains decentralized policies to recover and use personalized coordination context from local histories, enabling higher returns than baselines on variable-roster cooperative MARL tasks with both seen and unseen team sizes.
How Many Vehicles Do We Need? Fleet Sizing for Shared Autonomous Vehicles With Ridesharing.IEEE Transactions on Intelligent Transportation Systems, 23(9):14594–14607
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PC3D: Zero-Shot Cooperation Across Variable Rosters via Personalized Context Distillation
PC3D trains decentralized policies to recover and use personalized coordination context from local histories, enabling higher returns than baselines on variable-roster cooperative MARL tasks with both seen and unseen team sizes.