Search Results - twin-delay deep deterministic policy gradient algorithm

A theoretical demonstration for reinforcement learning of PI control dynamics for optimal speed control of DC motors by using Twin Delay Deep Deterministic Policy Gradient Algorithm by Tufenkci, Sevilay, Baykant Alagoz, Baris, Kavuran, Gurkan, Yeroglu, Celaleddin, Herencsar, Norbert, Mahata, Shibendu

“… In this study, the Twin Delay Deep Deterministic (TD3) policy gradient method, which is an effective actor-critic RL strategy, is implemented to learn optimal Proportional Integral (PI…”
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Decentralized Voltage and Var Control of Active Distribution Network Based on Parameter-Sharing Deep Reinforcement Learning by Zhang, Binqiao, He, Changlin

“… By allowing agents to share parts of their neural network, the proposed Parameter Sharing - twin-delay deep deterministic policy gradient algorithm improves the stability and efficiency of voltage regulation…”
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Bayesian optimization for hyper-parameter tuning of an improved twin delayed deep deterministic policy gradients based energy management strategy for plug-in hybrid electric vehicles by Wang, Jinhai, Du, Changqing, Yan, Fuwu, Hua, Min, Gongye, Xiangyu, Yuan, Quan, Xu, Hongming, Zhou, Quan

“… A novel EMS for PHEV based on Bayesian Optimization (BO) and improved Twin Delay Deep Deterministic Policy Gradient (TD3…”
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Cooperative control of velocity and heading for unmanned surface vessel based on twin delayed deep deterministic policy gradient with an integral compensator by Wang, Yibai, Zhao, Shulong, Wang, Qingling

“…) utilizing a twin delay deep deterministic policy gradient (TD3) reinforcement learning algorithm…”
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Motion control of unmanned underwater vehicles via deep imitation reinforcement learning algorithm by Chu, Zhenzhong, Sun, Bo, Zhu, Daqi, Zhang, Mingjun, Luo, Chaomin

“…). The algorithm is called imitation learning (IL) twin delay deep deterministic policy gradient (DDPG) (TD3…”
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Dual Parallel Policy Iteration With Coupled Policy Improvement by Cheng, Yuhu, Huang, Longyang, Chen, C. L. Philip, Wang, Xuesong

“…In this article, a novel coupled policy improvement mechanism is developed for improving policy iteration (PI) algorithms…”
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Autonomous Obstacle Avoidance and Target Tracking of UAV Based on Deep Reinforcement Learning by Xu, Guoqiang, Jiang, Weilai, Wang, Zhaolei, Wang, Yaonan

“… Therefore, this paper proposes a new deep reinforcement learning algorithm, namely Multiple Pools Twin Delay Deep Deterministic Policy Gradient (MPTD3) algorithm…”
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Deep Reinforcement Learning-Based Control Scheme for Performance Enhancement of PMSG Wind Turbine With Vienna Rectifier by Du, Yucheng, Cai, Bin, Yan, Shaomin, Zhang, Weiyu, Xing, Zida, Qiu, Yalan, Chu, Xiaoguang, Song, Xiaoyu

“…A novel control scheme based on deep reinforcement learning (DRL) is presented to improve the operational performance of a permanent magnet synchronous generator (PMSG…”
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A deep reinforcement learning algorithm based on modified Twin delay DDPG method for robotic applications by Vasquez-Jalpa, Carlos, Nakano-Miyatake, Mariko, Escamilla-Hernandez, Enrique

“…This paper proposes a deep reinforcement learning algorithm for autonomous robotics, in which we modify twin delay deep deterministic policy gradient (TD3…”
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Virtual power plant containing electric vehicles scheduling strategies based on deep reinforcement learning by Wang, Jianing, Guo, Chunlin, Yu, Changshu, Liang, Yanchang

“…) algorithm is used for the VPP agent and twin delay deep deterministic policy gradient (TD3) algorithm…”
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Coordinated control of wind turbine and hybrid energy storage system based on multi-agent deep reinforcement learning for wind power smoothing by Wang, Xin, Zhou, Jianshu, Qin, Bin, Guo, Lingzhong

“…). The optimal secondary allocation of the reference power of the high-frequency and medium-frequency is then performed through a multi-agent twin-delay deep deterministic policy…”
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Payload Transporting With Two Quadrotors by Centralized Reinforcement Learning Method by Lin, Dasheng, Han, Jianda, Li, Kun, Zhang, Jianlei, Zhang, Chunyan

“… Our approach employs a reinforcement learning agent guided by the twin delay deep deterministic policy gradient (TD3) algorithm…”
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Deposit and withdraw: Reinforcement learning‐based incentive design for shared energy storage by Lu, Xin, Zhao, Junhua, Qiu, Jing, Zhang, Cuo, Lei, Gang, Zhu, Jianguo

“…Many residential prosumers exhibit a high price tolerance for household electricity bills and a low response to price incentives. This is because household…”
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An AVC Optimization Strategy Based on Improved Deep Reinforcement Learning by Li, Zhiling, Wang, Youcheng, Zhao, Qin, Duan, Ru, Lu, Xiaoxia

“… power compensation capacitor banks to comprehensively improve voltage stability. Then, an improved Twin Delay Deep Deterministic Policy Gradient (TD3…”
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Modified Triplet-Average Deep Deterministic Policy Gradient for interpretable neuro-fuzzy deep reinforcement learning by Nguyen, Tuan-Linh, Thin, Nguyen Van, Lee, Sangmoon

“… The second step is the deep reinforcement learning of the NF policy network, which uses a Modified Triplet-Average Deep Deterministic policy gradient algorithm…”
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Autonomous navigation and collision avoidance for unmanned surface vehicle based on TD3-PD algorithm with CNN-GRU network by Wei, Zhengfeng, Wang, Qingling

“…) and gated recurrent units (GRU) within the twin delayed deep deterministic policy gradient (TD3) framework…”
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Deep reinforcement learning based computation offloading for xURLLC services with UAV-assisted IoT-based multi-access edge computing system by Fatima, Nida, Saxena, Paresh, Giambene, Giovanni

“… Specifically, we have employed twin delay deep deterministic policy gradient (TD3), a DRL algorithm, to find optimal…”
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Research on Deep Reinforcement Learning Control Algorithm for Active Suspension Considering Uncertain Time Delay by Wang, Yang, Wang, Cheng, Zhao, Shijie, Guo, Konghui

“…) that specifically addresses the issue of uncertain delay. In this approach, a twin-delayed deep deterministic policy gradient (TD3…”
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Reducing Estimation Bias via Triplet-Average Deep Deterministic Policy Gradient by Wu, Dongming, Dong, Xingping, Shen, Jianbing, Hoi, Steven C. H.

“… In this article, we investigate the underestimation phenomenon in the recent twin delay deep deterministic actor-critic algorithm and theoretically demonstrate its existence…”
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Enhanced deep reinforcement learning-based thermal management strategy for PEMFC considering coolant system parasitic power by Zhang, Zhi, Yuan, Weiwei, Wang, Yaxiong, Ou, Kai, Huang, Yin, Xuan, Dongji

“…Thermal management of fuel cells is crucial for maintaining their efficient operation, as improper temperature regulation can significantly reduce fuel cell…”
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