Search Results - Multi-agent deep reinforcement learning algorithm

Task offloading and resource allocation in NOMA-VEC: A multi-agent deep graph reinforcement learning algorithm by Yonghui, Hu, Zuodong, Jin, Peng, Qi, Dan, Tao

“… To solve the optimization problem, we propose a multiagent deep graph reinforcement learning algorithm…”
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Target-Value-Competition-Based Multi-Agent Deep Reinforcement Learning Algorithm for Distributed Nonconvex Economic Dispatch by Ding, Lifu, Lin, Zhiyun, Shi, Xiasheng, Yan, Gangfeng

“… A multi-agent coordinated deep reinforcement learning algorithm is proposed to deal with distributed nonconvex economic dispatch problems…”
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A traffic light control method based on multi-agent deep reinforcement learning algorithm by Liu, Dongjiang, Li, Leixiao

“… Recently, many decentralized multi-agent traffic light control algorithms are proposed. These researches mainly focus on improving reinforcement learning method and coordination method…”
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Energy-Saving Multi-Agent Deep Reinforcement Learning Algorithm for Drone Routing Problem by Shu, Xiulan, Lin, Anping, Wen, Xupeng

“… Motivated by these shortcomings, we propose a novel multi-agent deep reinforcement learning algorithm that integrates a drone energy…”
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Multi-UAV Path Planning for Plural Data Collection: Distributed Multi-Agent Deep Reinforcement Learning Algorithms by Liu, Miao, Huang, Yuzhen, Zhang, Zhi, Meng, Yue

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Decentralized multi-agent reinforcement learning based on best-response policies by Gabler, Volker, Wollherr, Dirk

“… Given the recent advances in single-agent reinforcement learning, multi-agent reinforcement learning (RL…”
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A Multi-Ship Collision Avoidance Algorithm Using Data-Driven Multi-Agent Deep Reinforcement Learning by Niu, Yihan, Zhu, Feixiang, Wei, Moxuan, Du, Yifan, Zhai, Pengyu

“… This paper proposes a multi-ship autonomous collision avoidance decision-making algorithm by a data-driven method and adopts the Multi-agent Deep Reinforcement Learning (MADRL…”
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Multi-agent deep reinforcement learning algorithm with trend consistency regularization for portfolio management by Ma, Cong, Zhang, Jiangshe, Li, Zongxin, Xu, Shuang

“… In this paper, we propose a novel multi-agent deep reinforcement learning algorithm with trend consistency regularization (TC-MARL…”
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A graph neural network based deep reinforcement learning algorithm for multi-agent leader-follower flocking by Xiao, Jian, Wang, Zhuoran, He, Jinhui, Yuan, Guohui

“… Focusing on the problems, we propose a leader-follower flocking algorithm based on a novel reinforcement learning (RL) model…”
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MUABR: Multi-user Adaptive Bitrate Algorithm based Multi-agent Deep Reinforcement Learning by Yuan, Haoyue, Lu, Hancheng, Meng, Linghui, Liu, Mengjie

“… To address these issues, this paper proposes a multi-user adaptive bitrate algorithm (MUABR) based on multi-agent reinforcement learning…”
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DMADRL: A Distributed Multi-agent Deep Reinforcement Learning Algorithm for Cognitive Offloading in Dynamic MEC Networks by Yi, Meng, Yang, Peng, Du, Miao, Ma, Ruochen

“… To address this issue, we propose a distributed multi-agent deep reinforcement learning algorithm (DMADRL…”
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Multi-agent deep reinforcement learning algorithm with self-adaption division strategy for VNF-SC deployment in SDN/NFV-Enabled Networks by Xuan, Hejun, Zhou, Yi, Zhao, Xuelin, Liu, Zhenghui

“…) and heuristic methods (genetic algorithm, particle swarm optimization, etc.) are only suitable for operation deployment in the case of predictable operations, and it is…”
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Generating intelligent agent behaviors in multi-agent game AI using deep reinforcement learning algorithm by Rosalina, Rosalina, Sengkey, Axel, Sahuri, Genta, Mandala, Rila

“…) using deep reinforcement learning (DRL) algorithm. A basic RL algorithm called deep Q network is chosen to be implemented…”
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Orthogonal Gradient Multi-Agent Deep Reinforcement Learning-based Algorithm for Spectrum Resource Optimization in UAV Swarm by Lou, Dengke, Wan, Boyu, Zhang, Yu, Du, Yihang, Wan, Fayu, Chen, Yong

“… This study proposes an Orthogonal Gradient Multi-Agent Deep Reinforcement Learning-based Algorithm for Spectrum Resource Optimization in UAV swarm (OG-MADRL…”
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Hindsight-aware deep reinforcement learning algorithm for multi-agent systems by Li, Chengjing, Wang, Li, Huang, Zirong

“…Classic reinforcement learning algorithms generate experiences by the agent's constant trial and error, which leads to a large number of failure experiences stored in the replay buffer…”
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Multi-Agent Deep Reinforcement Learning Algorithms for Distributed Charging Station Management by Junda, Li, Tianan, Wang, Dingyi, Zhang, Quancai, Wu, Jian, Liu

“… Considering the complex coupling between charging stations and the power system in a smart grid environment, this paper proposes a distributed scheduling strategy based on multi-agent deep reinforcement learning (MADRL…”
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Applications of Multi-Agent Deep Reinforcement Learning: Models and Algorithms by Ibrahim, Abdikarim Mohamed, Yau, Kok-Lim Alvin, Chong, Yung-Wey, Wu, Celimuge

“…Recent advancements in deep reinforcement learning (DRL) have led to its application in multi-agent scenarios to solve complex real-world problems…”
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A dynamic self-improving ramp metering algorithm based on multi-agent deep reinforcement learning by Deng, Fuwen, Jin, Jiandong, Shen, Yu, Du, Yuchuan

“…We present a novel ramp metering algorithm that incorporates multi-agent deep reinforcement learning (DRL…”
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A Model-Free Deep Reinforcement Learning Algorithm for Solving Multi-Agent Nash Equilibrium With Unstable Communication by Jiang, Yuannan, Jiang, Shengming, Wang, Xiaofeng

“…Most reinforcement learning (RL) algorithms proposed to solve Nash equilibrium in multi-agent systems assume stable communication conditions or rely on accurate models of the environment…”
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A TD3-based multi-agent deep reinforcement learning method in mixed cooperation-competition environment by Zhang, Fengjiao, Li, Jie, Li, Zhi

“… This paper proposes a new multi-agent deep reinforcement learning algorithm framework named multi-agent time delayed deep deterministic policy gradient…”
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