Suchergebnisse - "PPO algorithm"

Imbalance analysis of regional economic law laws incorporating improved PPO algorithms von Yi, Yanwei, Lin, Xiaohong

“… This paper first analyzes the status quo of regional economic law coordinated development and draws out the mechanism and characteristics of regional economic …”
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An intelligent thermal comfort control strategy for air conditioning of fuel cell vehicles von Hu, Donghai, Qiu, Chengyun, Lu, Dagang, Wang, Jing, Huang, Hao, Xue, Haitao

“… [Display omitted] •Taking thermal comfort as the control target of automotive air conditioning.•This paper establishes a control strategy using DRL based on …”
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A spatiotemporal coordinated regulation strategy for electric vehicles to enhance distribution network hosting capacity von Yang, Yue, Gao, Shan, Wang, Jianing, Huang, Xueliang

“… •A spatiotemporal EV scheduling strategy is proposed for DNHC enhancement.•Private EVs are optimized by PPO with soft projection to ensure charging …”
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Local Path Planning of Robot Based on Improved PPO Algorithm von LIU Guoming, LI Caihong, LI Yongdi, ZHANG Guosheng, ZHANG Yaoyu, GAO Tengteng

“… The traditional reinforcement learning algorithm has the problem of slow convergence and fails to reach the target owing to the possibility of falling into the …”
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A policy optimization algorithm based on sample adaptive reuse and dual-clipping for robotic action control von Zhao, Li-yang, Chang, Tian-qing, Zhang, Jie, Zhang, Lei, Chu, Kai-xuan, Guo, Li-bin, Kong, De-peng

“… When applying deep reinforcement learning in the real physical environment for decision-making, how to improve the sample efficiency while ensuring training …”
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Pressure control of Once-through steam generator using Proximal policy optimization algorithm von Li, Cheng, Yu, Ren, Yu, Wenmin, Wang, Tianshu

“… Due to the strong coupling characteristics of the once-through steam generator(OTSG), the outlet pressure control is difficult. The control system using the …”
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Aerial Combat Maneuver Decision Method for Unmanned Aerial Vehicles Based on Deep Reinforcement Learning von ZHANG Xiangrui, TAN Tai, LI Hui, ZHANG Jianwei, LI Bowen

“… Unmanned Aerial Vehicle (UAV) close-range air combat environments are complex, with rapid changes in enemy aircraft maneuvers. Considering the difficulty of …”
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Fleet State-Aware Aero-Engine Fleet Collaborative Maintenance: A PPO-Enhanced and Maintenance Urgency-Aware Decision Mechanism von Ren, Jiawei, Cheng, Ying, Yan, Ruqiang, Tao, Fei

“… As the aviation industry expands, aero-engine maintenance has become a critical research area due to its importance for safety and economic efficiency. This …”
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Reinforcement learning-based control with application to the once-through steam generator system von Li, Cheng, Yu, Ren, Yu, Wenmin, Wang, Tianshu

“… A reinforcement learning framework is proposed for the control problem of outlet steam pressure of the once-through steam generator(OTSG) in this paper. The …”
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Research on heterogeneous multi-UAV collaborative decision-making method based on improved PPO von Xu, Lin, Zhang, Xinmiao, Xiao, Dong, Liu, Beihong, Liu, Aixue

“… In order to solve the problem that the Proximal Policy Optimization (PPO) algorithm is difficult to converge in the air-sea battle scenarios with high …”
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Proximal policy optimization (PPO) algorithm's role in autonomous decision-making for autism von Mariselvam, Joypriyanka, Alotaibi, Youseef, Rajendran, Surendran

“… The present research implements the Proximal Policy Optimisation (PPO) method to train many agents in a dynamic police-thief game. The main goal is to create a …”
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Task Scheduling for Heterogeneous Multi‐Core Processors Based on Deep Reinforcement Learning von Tan, Qiguang, Chen, Wei, Liu, Dake

“… Heterogeneous multicore processor systems are commonly used for scheduling tasks of DAG applications. Deep reinforcement learning, with its superior ability to …”
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New Approaches to Detection and Secure Control for Cyber-physical Systems Against False Data Injection Attacks von Wang, Puying, Zhang, Ruimei, He, Xuxia

“… This study focuses on detecting and defending against false data injection attacks (FDIAs) on cyber-physical systems (CPSs). Firstly, recognizing the stealthy …”
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基于深度强化学习的多无人机协同进攻作战智能规划 von 李俊圣, 岳龙飞, 左家亮, 俞利新, 赵家乐

“… V219; 无人机依靠作战效费比高、灵活自主等优势逐步替代了有生力量作战,多无人机协同作战任务规划成为热点研究问题.针对传统任务规划采用的智能优化算法存在的依赖静态、低 …”
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Research on active coordination control mechanism of provincial and local AGC in power system based on deep learning technology von Liao, Dapeng, Li, Hongkui, Wang, Jiangtao, Zeng, Xianzhen, Wang, Xiaowei

“… AGC is the main means to maintain the active power balance of the power system and ensure the system frequency quality. In this paper, deep learning techniques …”
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Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning von LI Junsheng, YUE Longfei, ZUO Jialiang, YU Lixin, ZHAO Jiale

“… Unmanned aerial vehicle(UAV)with the advantages of high effectiveness and flexible autonomy has gradually replaced manned aircraft to combat,and multi-UAV …”
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Optimization of Circular Disassembly Lines With Human-Assisted Robotic Workstations Using Two-Stage Greedy PPO Algorithm von Qin, Shujin, Feng, Yujie, Wang, Jiacun, Liu, Shixin, Guo, Xiwang, Qi, Liang

“… Disassembly is a critical step in the recycling and reusing of end-of-life products. As Industry 5.0 emerges, manufacturing is shifting from a system-oriented …”
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Bionic Hand Motion Control Method Based on Imitation of Human Hand Movements and Reinforcement Learning von Bai, Jibo, Li, Baojiang, Wang, Xichao, Wang, Haiyan, Guo, Yuting

“… Bionic hands are promising devices for assisting individuals with hand disabilities in rehabilitation robotics. Controlled primarily by bioelectrical signals …”
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A low-carbon optimization scheduling method of CIES based on PPO algorithm von CHEN Fan, WU Lingxiao, WANG Man, LYU Ganyun, ZHANG Xiaolian

“… The tiered carbon trading mechanism and optimization scheduling model solving algorithm are pivotal for the community integrated energy system (CIES). CIES …”
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基于PPO算法的CIES低碳优化调度方法 von 陈凡, 吴凌霄, 王曼, 吕干云, 张小莲

“… TM73; 阶梯式碳交易机制以及优化调度模型求解算法是进行园区综合能源系统(community integrated energy sys-tem,CIES)优化调度的重要因素,现有文献对这两个因素的考虑不够 …”
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