Research on Multi-Agent Cooperative Tasks Based on Improved Proximal Policy Optimization

Yuelong Zhang; Min Li; Xiangguang Zeng; Ning‐Ning Song; Jiaheng Zhang; Bei Peng; Ping Zhang

doi:10.1007/978-981-97-7770-9_20

Research on Multi-Agent Cooperative Tasks Based on Improved Proximal Policy Optimization

In: Research on Multi-Agent Cooperative Tasks Based on Improved Proximal Policy Optimization (Lecture notes in electrical engineering)

Chapter In A Book 2024 English

Abstract

1 min read

Recently, increasing complexity in multi-agent cooperative environments has highlighted issues such as information redundancy and uneven training among agents sharing joint rewards. To address these challenges, this study optimizes the Actor-Critic structure within...

Discussion(0)

No comments yet. Be the first to comment.

Related publications

Article2025

IMSBA: A Novel Integrated Sensing and Communication Beam Allocation Based on Multi-Agent Reinforcement Learning for mmWave Internet of Vehicles

Jinxiang Lai, Deqing Wang, Yifeng Zhao

Article2025

Improving Scalability for Multi-Agent Reinforcement Learning via Attention Parameter Sharing

Chao Li, Yanfei Liu, Zhong Lin Wang, Jieling Wang, Qi Tian

Article2022

Cooperative and Competitive Multi-Agent Systems: From Optimization to Games

Jianrui Wang, Yitian Hong, Jiali Wang, Jiapeng Xu, Yang Tang, Qinglong Qinglong Han, Jürgen Kurths

IEEE/CAA Journal of Automatica Sinica

Preprint2020

Multi-Agent Reinforcement Learning for Cooperative Coded Caching via Homotopy Optimization

Xiongwei Wu, Jun Li, Ming Xiao, P.C. Ching, H Vincent Vincent Poort

Article2021

Multi-Agent Reinforcement Learning for Cooperative Coded Caching via Homotopy Optimization

Xiongwei Wu, Jun Li, Ming Xiao, P.C. Ching, H Vincent Vincent Poort