IEEE

QMIP: Enhancing Multi-Agent Reinforcement Learning Coordination Through Macro Intention Prediction

Abstract: The efficacy of the Centralized Training and Decentralized Execution (CTDE) framework in Multi-Agent Reinforcement Learning (MARL) is fundamentally limited by the divergence between globally ...
IEEE

Research on Maneuver Decision Algorithm of Multi-UAV Based on Action Intention Reinforcement Learning

Abstract: In multi-UAV air combat, traditional reinforcement learning (RL) struggles with high computational demands and policy learning inefficiencies arising from complex mission tasks and intensive ...