Diffusion-Guided Cooperative Policy Learning for Target Tracking Based on Underwater Mobile Agent Networks
基于监督扩散辅助多智能体强化学习的多水下机器人协作目标跟踪
机构 * Software College, Northeastern University(东北大学软件学院) ; Key Laboratory of Maritime Intelligent Network Information Technology, Ministry of Education, Hohai University(河海大学教育部海事智能网络信息技术重点实验室) ; College of Computer Science and Software Engineering, Hohai University(河海大学计算机与软件学院) ; College of Computer Science and Engineering, Northeastern University(东北大学计算机科学与工程学院)
AI总结 本文提出基于监督扩散辅助多智能体强化学习(SDA-MARL)的多水下机器人协作目标跟踪方法,通过分层架构和创新算法解决非平稳性、稀疏奖励探索和水扰动鲁棒性等挑战,提升水下目标跟踪精度。