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Optimizing Autonomous Vehicle Performance Using Improved Proximal Policy Optimization [PDF]
SensorsAutonomous vehicles must make quick and accurate decisions to operate efficiently in complex and dynamic urban traffic environments, necessitating a reliable and stable learning mechanism. The proximal policy optimization (PPO) algorithm stands out among
Mehmet Bilban, Onur İnan
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Quantum architecture search via truly proximal policy optimization [PDF]
Scientific Reports, 2023 Quantum Architecture Search (QAS) is a process of voluntarily designing quantum circuit architectures using intelligent algorithms. Recently, Kuo et al. (Quantum architecture search via deep reinforcement learning.
Xianchao Zhu, Xiaokai Hou
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Proximal policy optimization integrated with Bayesian optimization for stand structure optimization in Pinus yunnanensis secondary forests [PDF]
Frontiers in Plant ScienceIntroductionSecondary forests are often characterized by irrational stand structures and spatial imbalances, which constrain the full realization of their ecological functions. Existing deep learning approaches for stand structure optimization still face
Jianming Wang +7 more
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Information, 2020 Accurate temperature prediction plays an important role in the thermal protection of permanent magnet synchronous motors. A temperature prediction method of permanent magnet synchronous machines (PMSMs) based on proximal policy optimization is proposed ...
Yuefeng Cen +4 more
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Secondary Cooling Water System Control Method Based on Deep Reinforcement Learning [PDF]
SensorsThe secondary cooling water system is difficult to control because of loop coupling, thermal inertia, and strict actuator constraints. In addition, when conventional proximal policy optimization (PPO) uses Gaussian action sampling with clipping, the ...
Jin Xu +3 more
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Research on the Application of Reinforcement Learning Algorithm in Decision Support of Beyond-Visual-Range Air Combat [PDF]
Hangkong bingqi, 2021 In order to solve problems of the action selection space and the difficulty of convergence of traditional proximal policy optimization algorithm in air combat simulation, proximal policy hierarchical optimization algorithm is proposed.
Wu Yijia, Lai Jun, Chen Xiliang, Cao Lei, Xu Peng
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Proximal Policy Optimization Based on Self-directed Action Selection [PDF]
Jisuanji kexue, 2021 The optimization algorithm of monotonous improvement of strategy in reinforcement learning is a current research hotspot,and it has achieved good performance in both discrete and continuous control tasks.Proximal policy optimization(PPO)algorithm is a ...
SHEN Yi, LIU Quan
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Proximal Policy Optimization for Radiation Source Search
Journal of Nuclear Engineering, 2021 Rapid search and localization for nuclear sources can be an important aspect in preventing human harm from illicit material in dirty bombs or from contamination. In the case of a single mobile radiation detector, there are numerous challenges to overcome
Philippe Proctor +3 more
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A Functional Clipping Approach for Policy Optimization Algorithms
IEEE Access, 2021 Proximal policy optimization (PPO) has yielded state-of-the-art results in policy search, a subfield of reinforcement learning, with one of its key points being the use of a surrogate objective function to restrict the step size at each policy update ...
Wangshu Zhu, Andre Rosendo
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IEEE Access, 2023 Achieving the coordinated optimization of tie-line reserve and energy storage on two timescales is a key issue in reserve scheduling for active distribution networks.
Xiaoyu Li, Xueshan Han, Ming Yang
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