Výsledky vyhľadávania - multi-agent deep deterministic policy gradient algorithm

Novel task decomposed multi-agent twin delayed deep deterministic policy gradient algorithm for multi-UAV autonomous path planning Autor Zhou, Yatong, Kong, Xiaoran, Lin, Kuo-Ping, Liu, Liangyu

“… This study proposed the novel task decomposed multi-agent twin delayed deep deterministic policy gradient (TD-MATD3…”
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A Pursuit Strategy for Multi-Agent Pursuit-Evasion Game via Multi-Agent Deep Deterministic Policy Gradient Algorithm Autor Ye, Jianfeng, Wang, Qing, Ma, Bei, Wu, Yongbao, Xue, Lei

“… Then, we modify the multi-agent deep deterministic policy gradient (MADDPG) algorithm for seeking the Nash equilibrium…”
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Multi-agent deep deterministic policy gradient algorithm for peer-to-peer energy trading considering distribution network constraints Autor Samende, Cephas, Cao, Jun, Fan, Zhong

“… To address the challenge, we first formulate the above problem as a Markov decision process and propose a multi-agent deep deterministic policy gradient algorithm to learn optimal energy trading decisions…”
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Multi-Microgrid Energy Trading Strategy Based on Multi-Agent Deep Deterministic Policy Gradient Algorithm Autor Qi, Genhong, Fu, Lingxiao, Wang, Meng, Zhu, Mingcheng, Yuan, Shaoqing, Xu, Jiang

“… while ensuring information independence. Considering the real-time changes in environmental transition functions and complex scheduling scenarios, the multi-agent deep deterministic policy gradient (MADDPG…”
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Simulation optimization of highway hard shoulder running based on multi-agent deep deterministic policy gradient algorithm Autor Hu, Lipeng, Tang, Jinjun, Zou, Guoqing, Li, Zhitao, Zeng, Jie, Li, Mingyang

“… To tackle this issue, the Multi-Agent Deep Deterministic Policy Gradient with spatio-temporal constraints (STC-MADDPG…”
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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 Autor 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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A multi-agent deep deterministic policy gradient algorithm integrated with the A algorithm for multiple-equipment integrated scheduling in automated container terminals Autor Li, Jun, Xiao, Hanping, Liu, Zhixiong

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Research on the influence of multi-agent deep deterministic policy gradient algorithm key parameters in typical scenarios Autor Lu, Junsong, Wang, Zongsheng, Pan, Kang, Zhang, Hanshuo

“…The MADDPG algorithm is widely used and relatively complete, but there is no intuitive data support for the values of some key parameters…”
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Optimal operation of regional integrated energy system based on multi-agent deep deterministic policy gradient algorithm Autor Xu, Bohan, Xiang, Yue

“… Therefore, an optimal operation method based on the multi-agent deep deterministic policy gradient algorithm (MADDPG) 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 Autor 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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Fire Evacuation Path Planning Based on Improved MADDPG (Multi-Agent Deep Deterministic Policy Gradient) Algorithm Autor Huang, Qiong, Si, Ying, Wang, Haoyu

“… (Adjacency Multi-agent Deep Deterministic Policy Gradient) model suitable for fire evacuation is proposed…”
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Optimal demand response based dynamic pricing strategy via Multi-Agent Federated Twin Delayed Deep Deterministic policy gradient algorithm Autor 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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ERA-MADDPG: An Elastic Routing Algorithm Based on Multi-Agent Deep Deterministic Policy Gradient in SDN Autor Huang, Wanwei, Liu, Hongchang, Li, Yingying, Ma, Linlin

“…To address the fact that changes in network topology can have an impact on the performance of routing, this paper proposes an Elastic Routing Algorithm based on Multi-Agent Deep Deterministic Policy Gradient (ERA-MADDPG…”
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Improved Multi-Agent Deep Deterministic Policy Gradient for Path Planning-Based Crowd Simulation Autor 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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Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning Autor Li, Jiawen, Yu, Tao, Zhang, Xiaoshun

“…), is constructed among different areas during load frequency control (LFC). Furthermore, an evolutionary imitation curriculum multi-agent deep deterministic policy gradient (EIC-MADDPG…”
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Scalable path planning algorithm for multi-Unmanned Surface Vehicles based on Multi-Agent Deep Deterministic Policy Gradient Autor 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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Research on Bidding Strategy of Thermal Power Companies in Electricity Market Based on Multi-Agent Deep Deterministic Policy Gradient Autor Liu, Dunnan, Gao, Yuan, Wang, Weiye, Dong, Zhixin

“…With the continuous improvement of new energy penetration in the power system, the price of the spot market of power frequently fluctuates greatly, which…”
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Grid-area coordinated load frequency control strategy using large-scale multi-agent deep reinforcement learning Autor Li, Jiawen, Geng, Jian, Yu, Tao

“… by dispatching centers in secondary frequency regulation. In addition, an effective exploration-based multi-agent deep deterministic policy gradient (EE-MADDPG…”
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Coordinated automatic generation control of interconnected power system with imitation guided exploration multi-agent deep reinforcement learning Autor Li, Jiawen, Yu, Tao, Zhang, Xiaoshun

“… The tuner of each adaptive proportional-integral (PI) controller adopts an imitation guided-exploration multi-agent twin-delayed deep deterministic policy gradient (IGE-MATD3…”
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A TD3-based multi-agent deep reinforcement learning method in mixed cooperation-competition environment Autor 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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