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Mean-field-aided multiagent reinforcement learning for resource allocation in vehicular networks

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.

Autonomous Swarm Robot Coordination via Mean-Field Control Embedding Multi-Agent Reinforcement Learning

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.

M^3ARL: Moment-Embedded Mean-Field Multi-Agent Reinforcement Learning for Continuous Action Space

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.

Conference Proceeding talk at IROS 2024

Published: March 01, 2014

Talk on paper Autonomous Swarm Robot Coordination via Mean-Field Control Embedding Multi-Agent Reinforcement Learning.

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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