Suchergebnisse - optimized PPO algorithm*

Enhanced intrusion strategy learning for security systems using an optimized PPO algorithm

Autoren: Bowen Zou Xian Zhu Chunqiang Liu et al.

Quelle: IET Conference Proceedings. 2024:845-849

Research on Behavioral Decision at an Unsignalized Roundabout for Automatic Driving Based on Proximal Policy Optimization Algorithm

Autoren: Jingpeng Gan Jiancheng Zhang Yuansheng Liu

Quelle: Applied Sciences, Vol 14, Iss 7, p 2889 (2024)

Schlagwörter: autonomous vehicle, deep reinforcement learning, optimized PPO algorithm, unsignalized roundabout, gap acceptance theory, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/7/2889; https://doaj.org/toc/2076-3417; https://doaj.org/article/3147b64605354ccd9cc86e06039bdec7

Verfügbarkeit: https://doi.org/10.3390/app14072889
https://doaj.org/article/3147b64605354ccd9cc86e06039bdec7

Process parameter optimization model for tablet compression based on random forest and proximal policy optimization algorithm.

Autoren: Du J Wang T Zhu W et al.

Quelle: International journal of pharmaceutics [Int J Pharm] 2025 Dec 25; Vol. 686, pp. 126310. Date of Electronic Publication: 2025 Oct 26.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7804127 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-3476 (Electronic) Linking ISSN: 03785173 NLM ISO Abbreviation: Int J Pharm Subsets: MEDLINE

MeSH-Schlagworte: Tablets*/chemistry , Algorithms* , Drug Compounding*/methods , Technology, Pharmaceutical*/methods, Random Forest

Research on Behavioral Decision at an Unsignalized Roundabout for Automatic Driving Based on Proximal Policy Optimization Algorithm.

Autoren: Gan, Jingpeng Zhang, Jiancheng Liu, Yuansheng

Quelle: Applied Sciences (2076-3417); Apr2024, Vol. 14 Issue 7, p2889, 16p

Schlagwörter: TRAFFIC circles, OPTIMIZATION algorithms, REINFORCEMENT learning, DEEP reinforcement learning, BEHAVIORAL research, SPACE perception

GA-HPO PPO: A Hybrid Algorithm for Dynamic Flexible Job Shop Scheduling.

Autoren: Zhou, Yiming Jiang, Jun Shi, Qining et al.

Quelle: Sensors (14248220); Nov2025, Vol. 25 Issue 21, p6736, 26p

Schlagwörter: PRODUCTION scheduling, GENETIC algorithms, OPTIMIZATION algorithms, MACHINE performance, MATHEMATICAL optimization, REINFORCEMENT learning

Improved PPO Optimization for Robotic Arm Grasping Trajectory Planning and Real-Robot Migration.

Autoren: Li, Chunlei Liu, Zhe Li, Liang et al.

Quelle: Sensors (14248220); Sep2025, Vol. 25 Issue 17, p5253, 25p

Schlagwörter: TRAJECTORY optimization, SIMULATED annealing, INDUSTRIAL robots, REINFORCEMENT learning, LEARNING

Reward design and hyperparameter tuning for generalizable deep reinforcement learning agents in autonomous racing.

Autoren: Kunda, Naga Sai Shreya Kc, Pranave Pandey, Mayank et al.

Quelle: Scientific Reports; 12/16/2025, Vol. 15 Issue 1, p1-15, 15p

Schlagwörter: REINFORCEMENT learning, AUTOMOBILE racing, OPTIMIZATION algorithms, GENERALIZATION, REWARD (Psychology)

结合PPO和蒙特卡洛树搜索的斗地主博弈模型. (Chinese)

Alternate Title: The improved DouDiZhu game model combining PPO with Monte Carlo Tree Search. (English)

Autoren: 王世鹏 王亚杰 吴燕燕 et al.

Quelle: Journal of Chongqing University of Technology (Natural Science); 2025, Vol. 39 Issue 8, p126-133, 8p

Schlagwörter: STOCHASTIC processes, STRATEGY games, DECISION making, PROBABILITY theory, ALGORITHMS

Optimizing intelligent startup strategy of power system using PPO algorithm.

Autoren: Sun, Yan Wu, Yin Wu, Yan et al.

Quelle: Intelligent Decision Technologies; 2024, Vol. 18 Issue 4, p3091-3104, 14p

Schlagwörter: MACHINE learning, ELECTRIC lines, MATHEMATICAL optimization, RENEWABLE energy sources, DYNAMIC models

A CNN-PINN-DRL driven method for shape optimization of airfoils.

Autoren: Liu, Ying Yuan Shen, Jian Xiong Yang, Ping Ping et al.

Quelle: Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-16, 16p

Schlagwörter: AEROFOILS, AERODYNAMICS, ARTIFICIAL neural networks, REINFORCEMENT learning, CONVOLUTIONAL neural networks, STRUCTURAL optimization, OPTIMIZATION algorithms

A Robust Aerodynamic Design Optimization Methodology for UAV Airfoils Based on Stochastic Surrogate Model and PPO-Clip Algorithm.

Autoren: Wang, Yiyu Huo, Yuxin Zhong, Zhilong et al.

Quelle: Drones (2504-446X); Sep2025, Vol. 9 Issue 9, p607, 33p

Soft-Constrained MPC Optimized by DBO: Anti-Disturbance Performance Study of Wheeled Bipedal Robots.

Autoren: Chen, Weihua Feng, Yehao Zhang, Tie et al.

Quelle: Machines; Oct2025, Vol. 13 Issue 10, p916, 26p

Schlagwörter: PREDICTIVE control systems, OPTIMIZATION algorithms, SCIENTIFIC apparatus & instruments, ROBUST control, BIPEDALISM, FEEDBACK control systems

RETRACTED: Generating adversarial deep reinforcement learning -based frequency control of Island City microgrid considering generalization of scenarios.

Autoren: Wang, Houtianfu Zhang, Zhecong Wang, Qixin

Quelle: Frontiers in Energy Research; 2025, p1-11, 11p

Schlagwörter: REINFORCEMENT learning, MICROGRIDS, ELECTRIC power distribution grids, AUTOMATIC frequency control, ALGORITHMS

Intelligent Optimization and Real-Time Control of Wireless Power Transfer for Electric Vehicles.

Autoren: Ben Fadhel, Yosra Marques Cardoso, Antonio J.

Quelle: Electronics (2079-9292); Nov2025, Vol. 14 Issue 22, p4478, 27p

Schlagwörter: ELECTRIC vehicles, ARTIFICIAL intelligence, FEEDBACK control systems, REINFORCEMENT learning, WIRELESS power transmission, GENETIC algorithms

Reviews & Products: SIMULINK (Computer software)

Optimizing Autonomous Vehicle Performance Using Improved Proximal Policy Optimization.

Autoren: Bilban, Mehmet İnan, Onur

Quelle: Sensors (14248220); Mar2025, Vol. 25 Issue 6, p1941, 25p

Schlagwörter: LEVY processes, CITY traffic, REINFORCEMENT learning, ACCELERATION (Mechanics), AUTONOMOUS vehicles, TRAFFIC signs & signals

USV Collision Avoidance Decision-Making Based on the Improved PPO Algorithm in Restricted Waters.

Autoren: Hao, Shuhui Guan, Wei Cui, Zhewen et al.

Quelle: Journal of Marine Science & Engineering; Aug2024, Vol. 12 Issue 8, p1428, 22p

Schlagwörter: REWARD (Psychology), COLLISIONS at sea, SET functions, AUTONOMOUS vehicles, DECISION making

Real-time torque distribution simulation of parallel hybrid vehicle engine.

Autoren: Wang, Jing

Quelle: Frontiers in Mechanical Engineering; 2025, p1-12, 12p

Schlagwörter: HYBRID electric vehicles, TORQUE control, MARKOV processes, REINFORCEMENT learning, ENERGY consumption, DYNAMIC simulation, FIBER Bragg gratings, ENERGY conservation

Evaluating the Performance Metrics of Ppo, Dqn, and Ddpg in Continuous Control Tasks.

Autoren: Cui, Huacong

Quelle: ITM Web of Conferences; 9/8/2025, Vol. 78, p1-8, 8p

A Low-Collision and Efficient Grasping Method for Manipulator Based on Safe Reinforcement Learning.

Autoren: Zhang, Qinglei Hu, Bai Qin, Jiyun et al.

Quelle: Computers, Materials & Continua; 2025, Vol. 83 Issue 1, p1257-1273, 17p

Schlagwörter: DEEP reinforcement learning, MARKOV processes, RISK aversion, ROBOTICS, REINFORCEMENT learning, ALGORITHMS

Optimizing Advertising Billboard Coverage in Urban Networks: A Population-Weighted Greedy Algorithm with Spatial Efficiency Enhancements.

Autoren: Fu, Jiaying Qin, Kun

Quelle: ISPRS International Journal of Geo-Information; Aug2025, Vol. 14 Issue 8, p300, 19p

Schlagwörter: BILLBOARDS, URBAN planning, MATHEMATICAL optimization, GREEDY algorithms, ADVERTISING, RESOURCE allocation, REINFORCEMENT learning

Geografische Kategorien: WUHAN (China)