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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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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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 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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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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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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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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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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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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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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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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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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The Active Suspension Control Strategy Based on Deep Reinforcement Learning Proximal Policy Optimization Algorithm by Gao, Xiaotian, Chang, Keyao, Liu, Beibei, Du, Yu

“…With the rapid advancement of electric vehicles and the widespread integration of artificial intelligence technology, the demands for enhanced comfort and…”
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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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Curiosity-Driven Exploration in Reinforcement Learning: An Adaptive Self-Supervised Learning Approach for Playing Action Games by Farooq, Sehar Shahzad, Rahman, Hameedur, Abdul Wahid, Samiya, Alyan Ansari, Muhammad, Abdul Wahid, Saira, Lee, Hosu

“…Games are considered a suitable and standard benchmark for checking the performance of artificial intelligence-based algorithms in terms of training, evaluating, and comparing the performance of AI agents…”
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An End-to-End Flight Control Method for UAVs Based on MD-SAC by Song, Chao, Zhang, Yi, Bai, Shuangxia, Li, Bo, Gan, Zhigang, Neretin, Evgeny

“…) algorithm is proposed, named MD-SAC. First, this paper constructs the UAV model that is basically consistent with the real physical model, and forms a UAV multidata fusion state space including UAV information, UAV and target…”
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Optimization for Paralyzing G2A Communication Network: A DRL-Based Joint Path Planning and Jamming Power Allocation Approach by Peng, Xiang, Xu, Hua, Qi, Zisen, Wang, Dan, Pang, Yiqiong

“…This letter investigates the jammer path planning and jamming power allocation problem during airborne deterrence operation (ADO) in highly dynamic…”
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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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