Search Results - optimized PPO algorithm

Research on Behavioral Decision at an Unsignalized Roundabout for Automatic Driving Based on Proximal Policy Optimization Algorithm by Gan, Jingpeng, Zhang, Jiancheng, Liu, Yuansheng

“…) algorithm to enhance decision-making behavior. We develop an optimization-based behavioral choice model for autonomous vehicles that incorporates gap acceptance theory and deep reinforcement learning using the PPO algorithm…”
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Proximal Policy-Optimized Regularized Least Squares Algorithm for Noise-Resilient Motion Prediction of UMVs by Zhong, Yiming, Yu, Caoyang, Xiang, Xianbo, Lian, Lian

“…To enhance the accuracy of motion prediction in unmanned marine vehicles (UMVs), an innovative proximal policy-optimized regularized least squares (PPO-RLS…”
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Deep Reinforcement Learning for Optimizing Restricted Access Window in IEEE 802.11ah MAC Layer by Jiang, Xiaojun, Gong, Shimin, Deng, Chengyi, Li, Lanhua, Gu, Bo

“… However, to achieve optimized network performance, it is necessary to appropriately determine the RAW parameters, including the number of RAW groups, the number of slots in each RAW, and the duration of each slot…”
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Proximal policy optimization guidance algorithm for intercepting near-space maneuvering targets by Chen, Wenxue, Gao, Changsheng, Jing, Wuxing

“…This paper studies a novel guidance framework of the vehicle against a high-speed and maneuvering target based on deep reinforcement learning (DRL) considering…”
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Deep Reinforcement Learning Based Trajectory Design for Customized UAV-Aided NOMA Data Collection by Zhang, Lei, Zhang, Yuandi, Lu, Jiawangnan, Xiao, Yunfa, Zhang, Guanglin

“… The optimized proximal policy optimization (optimized PPO) based deep reinforcement learning (DRL) algorithm is proposed to address…”
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Reliable PPO-Based Concurrent Multipath Transfer for Time-Sensitive Applications by Liu, Kang, Quan, Wei, Cheng, Nan, Wu, Wen, Xu, Ziheng, Guo, Liang, Gao, Deyun, Zhang, Hongke

“… This article proposes a reliable proximal policy optimization (PPO)-based concurrent multipath transfer mechanism (RpCMT…”
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Sum-Rate Maximization in STAR-RIS-Assisted RSMA Networks: A PPO-Based Algorithm by Meng, Chanyuan, Xiong, Ke, Chen, Wei, Gao, Bo, Fan, Pingyi, Letaief, Khaled Ben

“…This article investigates simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted downlink multiuser…”
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Improved PPO Optimization for Robotic Arm Grasping Trajectory Planning and Real-Robot Migration by Li, Chunlei, Liu, Zhe, Li, Liang, Ji, Zeyu, Li, Chenbo, Liang, Jiaxing, Li, Yafeng

“…; and an SA-PPO algorithm that dynamically adjusts the learning rate to balance exploration and convergence…”
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Deep Reinforcement Learning for Online Reconfiguration of Active Distribution Network by Hao, Guokai, Li, Yuanzheng, Li, Yang, Luo, Yunfeng, Shahidehpour, Mohammad, Zeng, Zhigang

“…The operation and control of active distribution networks (ADNs) are becoming increasingly important due to the high penetration of renewable energy (RE). The…”
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Mission Sequence Model and Deep Reinforcement Learning-Based Replanning Method for Multi-Satellite Observation by Li, Peiyan, Cui, Peixing, Wang, Huiquan

“…With the rapid increase in the number of Earth Observation Satellites (EOSs), research on autonomous mission scheduling has become increasingly critical for…”
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Simulating chemotherapy of tumor models via adopting an artificial intelligence approach by Luo, Dakui, Xu, Liang, Yang, Yufei, Wu, Jie, Li, Xinxiang

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USV Collision Avoidance Decision-Making Based on the Improved PPO Algorithm in Restricted Waters by Hao, Shuhui, Guan, Wei, Cui, Zhewen, Lu, Junwen

“…The study presents an optimized Unmanned Surface Vehicle (USV) collision avoidance decision-making strategy in restricted waters based on the improved Proximal Policy Optimization (PPO) algorithm…”
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Advanced Proximal Policy Optimization Strategy for Resilient Cyber-Physical Power Grid Stability Against Hostile Electrical Disruptions by Massaoudi, Mohamed, Eddin, Maymouna Ez, Abu-Rub, Haithem, Ghrayeb, Ali

“… This study proposes a proximal policy optimization (PPO) agent against a randomized adversarial opponent aiming to disrupt grid operations…”
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Optimization of personalized hand-drawn illustration generation strategy supported by reinforcement learning by Zhong, Jifeng

“…•Models drawing process as sequential actions (stroke direction, length, pressure) optimized via PPO algorithm…”
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Combustion optimization study of pulverized coal boiler based on proximal policy optimization algorithm by Wu, Xuecheng, Zhang, Hongnan, Chen, Huafeng, Wang, Shifeng, Gong, Lingling

“…•Comparing and analyzing the prediction performance of dynamic and composite models.•Combining proximal policy reinforcement learning algorithm for online combustion optimization…”
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Intelligent path planning algorithm system for printed display manufacturing using graph convolutional neural network and reinforcement learning by Xiong, Jiacong, Chen, Jiankui, Chen, Wei, Yue, Xiao, Zhao, Ziwei, Yin, Zhouping

“… Existing patterning modules using a single planning algorithm for all inkjet printing scenarios often result in long planning times and unstable planning quality…”
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Mine Rescue Robot Based on Multimodal Sensing and PPO Decision Making by Han, Yicheng, He, Hao, Ma, Juting, Yang, Chenyu, Wang, Haiyu

“… and other gases through the Random Forest Optimized Classification Model, and combines the PPO reinforcement learning algorithm to construct the global-local collaborative path planning strategy. strategy…”
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A Multi-Target Trajectory Planning of a 6-DoF Free-Floating Space Robot via Reinforcement Learning by Wang, Shengjie, Zheng, Xiang, Cao, Yuxue, Zhang, Tao

“… In this paper, we propose a multi-target trajectory planning strategy of a 6-DoF free-floating space robot optimized by the Proximal Policy Optimization (PPO) algorithm…”
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UAV-STAR-RIS Aided Covert Multicasting in Low-Altitude Network by Chen, Yifan, Ding, Yu, Zhang, Yu, Chen, Bingcai, Wang, Ye, Lu, Weidang, Nallanathan, Arumugam

“…Security and privacy have become pressing concerns in low-altitude network (LAN), mainly due to its high mobility, and the critical reliance on line of sight…”
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A Novel RMS-Driven Deep Reinforcement Learning for Optimized Portfolio Management in Stock Trading by Sattar, Asma, Sarwar, Amna, Gillani, Saira, Bukhari, Maryam, Rho, Seungmin, Faseeh, Muhammad

“…) algorithms being more adaptable than classic approaches like mean reversion and momentum. However, challenges remain in adequately depicting market events and generating…”
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