Suchergebnisse - improved multi-agent deep deterministic policy gradient algorithm

Fire Evacuation Path Planning Based on Improved MADDPG (Multi-Agent Deep Deterministic Policy Gradient) Algorithm von Huang, Qiong, Si, Ying, Wang, Haoyu

“… (Adjacency Multi-agent Deep Deterministic Policy Gradient) model suitable for fire evacuation is proposed …”
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Improved Multi-Agent Deep Deterministic Policy Gradient for Path Planning-Based Crowd Simulation von Zheng, Shangfei, Liu, Hong

“… Deep reinforcement learning (DRL) has been proved to be more suitable than reinforcement learning for path planning in large-scale scenarios …”
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Multi-objective optimal scheduling strategy of energy storage system based on improved multi-agent deep deterministic policy gradient von Wang, Yufei, Gu, Ruixin, Wang, Yishun, Xue, Hua, Sang, Yiyan, Lin, Shunfu

“… A multi-objective optimization scheduling strategy for ESS is developed based on an improved multi-agent deep deterministic policy gradient (MADDPG …”
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Multi-agent energy management optimization for integrated energy systems under the energy and carbon co-trading market von Sun, Qingkai, Wang, Xiaojun, Liu, Zhao, Mirsaeidi, Sohrab, He, Jinghan, Pei, Wei

“… •An IESs co-trading market with carbon trading mechanisms is proposed.•The parameters and solving process are redesigned with the improved MADDPG algorithm …”
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MAPPO-ITD3-IMLFQ algorithm for multi-mobile robot path planning von Hu, Likun, Wei, Chunyou, Yin, Linfei

“… •Path planning problems for multi-mobile robots are considered.•MAPPO-ITD3-improved multi-level feedback queue algorithm is proposed …”
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Optimal bidding strategy for the price-maker virtual power plant in the day-ahead market based on multi-agent twin delayed deep deterministic policy gradient algorithm von Jiang, Yuzheng, Dong, Jun, Huang, Hexiang

“… The multi-agent twin delayed deep deterministic policy gradient (MATD3) algorithm is used to solve the problem of price-maker VPP participation in the day-ahead (DA) market …”
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MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm von Zhao, Minrui, Wang, Gang, Fu, Qiang, Guo, Xiangke, Chen, Yu, Li, Tengda, Liu, XiangYu

“… This paper presents an improved MAML-based multi-agent deep deterministic policy gradient (MADDPG) algorithm that achieves an unbiased initialization network by automatically assigning weights to meta-learning trajectories …”
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Joint Multi-objective Optimization for Radio Access Network Slicing Using Multi-agent Deep Reinforcement Learning von Zhou, Guorong, Zhao, Liqiang, Zheng, Gan, Xie, Zhijie, Song, Shenghui, Chen, Kwang-Cheng

“… )' deployment, and sub-channel and power allocation. An improved multi-agent deep deterministic policy gradient (IMADDPG …”
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An optimization scheduling strategy for hydrogen-based integrated energy systems using multi-agent deep reinforcement learning von Zhang, Lei, He, Ye, Hatziargyriou, Nikos D., Wu, Hongbin, Han, Pingping

“… of their scheduling strategy formulation. In this paper, a method based on multi-agent deep reinforcement learning for optimizing the scheduling of integrated energy systems is proposed …”
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MADDPG-D2: An Intelligent Dynamic Task Allocation Algorithm Based on Multi-Agent Architecture Driven by Prior Knowledge von Li, Tengda, Wang, Gang, Fu, Qiang

“… ) theory and an improved Multi-Agent Deep Deterministic Policy Gradient (MADDPG-D2) algorithm with a dual experience replay pool and a dual noise based on multi-agent architecture is proposed to improve the efficiency of DTA …”
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PASCAL: PopulAtion-Specific Curriculum-based MADRL for collision-free flocking with large-scale fixed-wing UAV swarms von Yan, Chao, Xiang, Xiaojia, Wang, Chang, Li, Fei, Wang, Xiangke, Xu, Xin, Shen, Lincheng

“… ). Specifically, PASCAL has two core components of policy learning and knowledge transfer. For policy learning, an improved multi-agent deep deterministic policy gradient algorithm is proposed to accelerate the learning process …”
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MATD3 with multiple heterogeneous sub-networks for multi-agent encirclement-combat task von Yuxin, Zhang, Enjiao, Zhao, Hong, Liang, Wentao, Zhou

“… team against its blue target agent in this paper. Under the actor-critic framework of twin delayed multi-agent deep deterministic policy gradient (MATD3 …”
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Optimization of hard shoulder running on highways using multi-agent reinforcement learning considering emergency vehicles von Lipeng, Hu, Jinjun, Tang, Wang, Zhe, Li, Zhitao, Li, Mingyang, Jie, Zeng

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Multi-agent cooperative encirclement based on improved MADDPG algorithm von Ai, Ling, Tang, Shaozhen, Yu, Jie

“… In this paper, we propose an improved Multi-agent Deep Deterministic Policy Gradient algorithm with a Priority Experience Replay mechanism (PER-MADDPG …”
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Scalable path planning algorithm for multi-Unmanned Surface Vehicles based on Multi-Agent Deep Deterministic Policy Gradient von Gao, Qiang, Li, Shuhao, Ji, Yuehui, Liu, Junjie, Song, Yu

“… Based on the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) framework, a multi-USV path planning algorithm is proposed …”
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Interception of a Single Intruding Unmanned Aerial Vehicle by Multiple Missiles Using the Novel EA-MADDPG Training Algorithm von Cai, He, Li, Xingsheng, Zhang, Yibo, Gao, Huanli

“… This paper proposes an improved multi-agent deep deterministic policy gradient algorithm called the equal-reward and action-enhanced multi-agent deep deterministic policy gradient (EA-MADDPG …”
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Research on Multi-Robot Formation Control Based on MATD3 Algorithm von Zhou, Conghang, Li, Jianxing, Shi, Yujing, Lin, Zhirui

“… ) algorithm, this paper proposes an improved multi-agent twin delayed deep deterministic policy gradient (MATD3 …”
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Optimal demand response based dynamic pricing strategy via Multi-Agent Federated Twin Delayed Deep Deterministic policy gradient algorithm von Ma, Haining, Zhang, Huifeng, Tian, Ding, Yue, Dong, Hancke, Gerhard P.

“… (TD3) policy gradient algorithm is proposed to construct a federated learning mechanism among multi agents …”
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Virtual Generation Alliance Automatic Generation Control Based on Deep Reinforcement Learning von Li, Jiawen, Yu, Tao

“… The framework also involves a multi agent distributed multiple improved deep deterministic policy gradient (MADMI-TD3 …”
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Robust Adaptive Fractional-Order PID Controller Design for High-Power DC-DC Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm for Electric Vehicles von Ghamari, Seyyed Morteza, Habibi, Daryoush, Aziz, Asma

“… The Dual Active Bridge converter (DABC), known for its bidirectional power transfer capability and high efficiency, plays a crucial role in various …”
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