Baoxi Wang

Guiding Team Objectives with Individual Policies: A Two-Stage Model Aggregation Framework for Partially Cooperative MARL

In Partially Cooperative Markov Games (PCMG), agents need to learn effective cooperation under individual rewards, with the key challenge lies in leveraging these rewards to enhance team benefits optimally. Model aggregation (MA) is a promising solution due to its simplicity and efficiency, yet it s