Search Results - "Multi-agent reinforcement learning algorithm"

MABQN: Multi-agent reinforcement learning algorithm with discrete policy by Xie, Qing, Wang, Zicheng, Fang, Yuyuan, Li, Yukai

“…Cooperative multi-agent reinforcement learning (MARL) for continuous control has diverse applications in real-world scenarios. Most of those MARL algorithms…”
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An evolutionary multi-agent reinforcement learning algorithm for multi-UAV air combat by Wang, Baolai, Gao, Xianzhong, Xie, Tao

“…In recent years, multi-agent reinforcement learning (MARL) has been widely used as a multi-UAV autonomous countermeasure. However, because training is usually…”
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Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response by Lee, Hyun-Rok, Lee, Taesik

“…•We propose a multi-agent reinforcement learning algorithm (MARL) augmented by behavioral cloning (BC…”
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A Novel Distributed Multi-Agent Reinforcement Learning Algorithm Against Jamming Attacks by Elleuch, Ibrahim, Pourranjbar, Ali, Kaddoum, Georges

“… Consequently, we propose a novel distributed multi-agent reinforcement learning algorithm for anti-jamming, namely Cross-Check Q-learning, where users…”
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A laboratory test of an Offline-trained Multi-Agent Reinforcement Learning Algorithm for Heating Systems by Blad, C., Bøgh, S., Kallesøe, C., Raftery, Paul

“…This paper presents a laboratory study of Offline-trained Reinforcement Learning (RL) control of a Heating Ventilation and Air-Conditioning (HVAC) system. We…”
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A multi-agent reinforcement learning algorithm with the action preference selection strategy for massive target cooperative search mission planning by Wang, Xiaoyan, Fang, Xi

“…Target search is widely applied in military reconnaissance, geological exploration and personnel search and rescue. Most target search algorithms perform well…”
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A safe multi-agent reinforcement learning algorithm using constraint update projection approach by Liu, Yang, Feng, Xiang, Yu, Huiqun

“…Traditional reinforcement learning has a major limitation, which is that they optimize agent’s policy purely for maximizing rewards. It completely ignore…”
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An Effective Multi‐Agent Reinforcement Learning Algorithm for Urban Traffic Light Scheduling by Tsai, Chun‐Wei, Luo, Yu‐Chen, Tsai, Ming‐Hsuan, Yang, Siang‐Hong

“…The multi‐agent reinforcement learning (MARL) has been used to control traffic lights to mitigate the traffic congestion problem of urban cities. However, an…”
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DMRL: A distributed multi-agent reinforcement learning algorithm for imbalanced classification by Ji, Yixin, Jing, Chao

“…Traditional imbalanced classification methods rely on sampling or allocating different weights to different classes to improve the recognition rate for…”
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GAMA: Graph Attention Multi-agent reinforcement learning algorithm for cooperation by Chen, Haoqiang, Liu, Yadong, Zhou, Zongtan, Hu, Dewen, Zhang, Ming

“…Multi-agent reinforcement learning (MARL) is an important way to realize multi-agent cooperation. But there are still many challenges, including the…”
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MARLA-SG: Multi-Agent Reinforcement Learning Algorithm for Efficient Demand Response in Smart Grid by Aladdin, Sally, El-Tantawy, Samah, Fouda, Mostafa M., Tag Eldien, Adly S.

“…) while maintaining the desired satisfaction level. This article presents the development and evaluation of a Multi-Agent Reinforcement Learning Algorithm for efficient…”
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DePAint: a decentralized safe multi-agent reinforcement learning algorithm considering peak and average constraints by Hassan, Raheeb, Wadith, K.M. Shadman, Rashid, Md. Mamun or, Khan, Md. Mosaddek

“…The domain of safe multi-agent reinforcement learning (MARL), despite its potential applications in areas ranging from drone delivery and vehicle automation to…”
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Online beam orbit correction of MEBT in CiADS based on multi-agent reinforcement learning algorithm by Yang, Xuhui, Chen, Youxin, Wang, Jinqiang, Zheng, Hai, Liu, Haitao, Zhou, Detai, He, Yuan, Wang, Zhijun, Zhou, Qingguo

“…•Established an on-line beam correction model of linac based on Multi-Agent Reinforcement Learning.•The feasibility of applying deep learning in beam orbit…”
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Theory of Mind Inspired Large Reasoning Language Model Improved Multi-agent Reinforcement Learning Algorithm for Robust and Adaptive Partner Modelling by Li, Xiyun, Zhang, Tielin, Liu, Chenghao, Xu, Shuang, Xu, Bo

“…The cooperative multi-agent reinforcement learning (MARL) field has experienced remarkable progress. However, these advanced methods still face substantial…”
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Innovative Study on Government Debt Risk Contagion Model Integrating the Copula Model with Multi-Agent Reinforcement Learning Algorithm by Liu, Zebin, Zhang, Xiaoheng, Lv, Hui, Shen, Lei

“…Amid increasing global economic uncertainty, local government debt burdens have significantly intensified, triggering growing concerns regarding cross-regional…”
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VN-MADDPG: A Variable-Noise-Based Multi-Agent Reinforcement Learning Algorithm for Autonomous Vehicles at Unsignalized Intersections by Zhang, Hao, Du, Yu, Zhao, Shixin, Yuan, Ying, Gao, Qiuqi

“…The decision-making performance of autonomous vehicles tends to be unstable at unsignalized intersections, making it difficult for them to make optimal…”
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Extensible Hierarchical Multi-Agent Reinforcement-Learning Algorithm in Traffic Signal Control by Zhao, Pengqian, Yuan, Yuyu, Guo, Ting

“…Reinforcement-learning (RL) algorithms have made great achievements in many scenarios. However, in large-scale traffic signal control (TSC) scenarios, RL still…”
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Towards Efficient Multi-UAV Air Combat: An Intention Inference and Sparse Transmission Based Multi-Agent Reinforcement Learning Algorithm by Han, Jinchao, Yan, Yan, Zhang, Baoxian

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Multi-empirical Discriminant Multi-Agent Reinforcement Learning Algorithm Based on Intra-group Evolution by Zhang, Zhong-lei, Zheng, Jiao-ling, Zou, Chang-jie

“…In order to find the optimal target in the unknown environment more quickly, a multi-empirical discriminant multi-agent reinforcement learning algorithm based on intra-group evolution is proposed…”
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Multi-agent Reinforcement Learning Algorithm Based on AI Planning by Xin, Yuanxia, Hua, Daoyang, Zhang, Li

“…At present, deep reinforcement learning algorithms have made a lot of achievements in various fields.However, in the field of multi-agent task, agents are…”
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