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Published in IEEE Internet of Things Journal, 2022
This paper is about the application of mean-field reinforcement learning in V2X system.
Recommended citation: Zhang, Hengxi, et al. "Mean-field-aided multiagent reinforcement learning for resource allocation in vehicular networks." IEEE Internet of Things Journal 10.3 (2022): 2667-2679.
Published in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
This paper is about the application of mean-field reinforcement learning in swarm robotics.
Recommended citation: Tang, Huaze, et al. "Autonomous Swarm Robot Coordination via Mean-Field Control Embedding Multi-Agent Reinforcement Learning." 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023.
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
This paper is about the repesentation of mean-field in continuous action space.
Recommended citation: Tang, Huaze, et al. "M3ARL: Moment-Embedded Mean-Field Multi-Agent Reinforcement Learning for Continuous Action Space." ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024.
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
This paper is about the repesentation of mean-field for QMIX algorithm
Recommended citation: Zhang, Enze, Tang, Huaze, et al. "Mean-Field Aided QMIX: A Scalable and Flexible Q-Learning Approach for Large-Scale Agent Groups." ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025.
Published:
Talk on paper Autonomous Swarm Robot Coordination via Mean-Field Control Embedding Multi-Agent Reinforcement Learning.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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