Deep reinforcement learning for decision making of autonomous vehicle in non-lane-based traffic environments.

Autoren: Fei Y; Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-infrastructure Systems, Changsha University of Science and Technology, Changsha, China.; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China., Xing L; Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-infrastructure Systems, Changsha University of Science and Technology, Changsha, China.; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China., Yao L; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China., Yang Z; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China., Zhang Y; School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China.

Quelle: PloS one [PLoS One] 2025 Apr 16; Vol. 20 (4), pp. e0320578. Date of Electronic Publication: 2025 Apr 16 (Print Publication: 2025).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Schlagworte: Deep Learning* , Decision Making* , Automobile Driving* , Automobiles*, Humans ; Computer Simulation ; Algorithms ; Reinforcement Machine Learning

Multi-agent deep reinforcement learning-based robotic arm assembly research.

Autoren: Cao G; School of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun, China., Bai J; School of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun, China.

Quelle: PloS one [PLoS One] 2025 Feb 18; Vol. 20 (2), pp. e0311550. Date of Electronic Publication: 2025 Feb 18 (Print Publication: 2025).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Schlagworte: Robotics*/methods , Robotics*/instrumentation , Deep Learning*, Algorithms ; Humans ; Computer Simulation ; Reinforcement, Psychology ; Reinforcement Machine Learning

A safe-enhanced fully closed-loop artificial pancreas controller based on deep reinforcement learning.

Autoren: Zhao YF; Institute of Visual Informatics, The National University of Malaysia (UKM), Bangi, Malaysia., Chaw JK; Institute of Visual Informatics, The National University of Malaysia (UKM), Bangi, Malaysia., Ang MC; Institute of Visual Informatics, The National University of Malaysia (UKM), Bangi, Malaysia., Tew Y; Faculty of Computing and Information Technology, Tunku Abdul Rahman University of Management and Technology, Kuala Lumpur, Malaysia., Shi XY; Department of Endocrinology, Zhengzhou University People's Hospital, Zheng Zhou, China., Liu L; College of Information Engineering, Henan Vocational University of Science and Technology, Zhou Kou, China., Cheng X; Institute of Visual Informatics, The National University of Malaysia (UKM), Bangi, Malaysia.

Quelle: PloS one [PLoS One] 2025 Jan 27; Vol. 20 (1), pp. e0317662. Date of Electronic Publication: 2025 Jan 27 (Print Publication: 2025).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Schlagworte: Pancreas, Artificial* , Diabetes Mellitus, Type 1*/drug therapy , Diabetes Mellitus, Type 1*/blood , Deep Learning*, Humans ; Insulin/administration & dosage ; Insulin/therapeutic use ; Blood Glucose/analysis ; Hypoglycemia/prevention & control ; Algorithms ; Insulin Infusion Systems ; Hypoglycemic Agents/administration & dosage ; Hypoglycemic Agents/therapeutic use ; Reinforcement Machine Learning

Novel deep reinforcement learning based collision avoidance approach for path planning of robots in unknown environment.

Autoren: Alharthi R; Department of Computer Science and Engineering, University of Hafr Al-Batin, Hafar Al-Batin, Saudi Arabia., Noreen I; Department of Computer Science, Bahria University, Lahore Canoys, Islamabad, Pakistan., Khan A; Department of Computer Science and Engineering, University of Hafr Al-Batin, Hafar Al-Batin, Saudi Arabia., Aljrees T; Department of Computer Science and Engineering, University of Hafr Al-Batin, Hafar Al-Batin, Saudi Arabia., Riaz Z; Department of Computer Science, University of Sialkot, Sialkot, Pakistan., Innab N; Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Diriyah, Riyadh, Saudi Arabia.

Quelle: PloS one [PLoS One] 2025 Jan 16; Vol. 20 (1), pp. e0312559. Date of Electronic Publication: 2025 Jan 16 (Print Publication: 2025).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Schlagworte: Robotics*/methods , Deep Learning* , Reinforcement, Psychology*, Algorithms ; Artificial Intelligence ; Humans ; Reinforcement Machine Learning

Explainable post hoc portfolio management financial policy of a Deep Reinforcement Learning agent.

Autoren: de-la-Rica-Escudero A; School of Engineering (ICAI), Universidad Pontificia Comillas, Madrid, Spain.; Faculty of Economics and Business (ICADE), Universidad Pontificia Comillas, Madrid, Spain., Garrido-Merchán EC; Faculty of Economics and Business (ICADE), Universidad Pontificia Comillas, Madrid, Spain., Coronado-Vaca M; Faculty of Economics and Business (ICADE), Universidad Pontificia Comillas, Madrid, Spain.

Quelle: PloS one [PLoS One] 2025 Jan 16; Vol. 20 (1), pp. e0315528. Date of Electronic Publication: 2025 Jan 16 (Print Publication: 2025).

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH Schlagworte: Deep Learning* , Investments*/economics , Financial Management*, Algorithms ; Humans ; Reinforcement, Psychology ; Models, Economic ; Reinforcement Machine Learning

Methods and software for solar power plant cluster management

Autoren: А. Мокрий, І. Баклан

Quelle: Adaptivni Sistemi Avtomatičnogo Upravlinnâ, Vol 1, Iss 40 (2022)

Schlagwörter: Solar power plant, solar power plant monitoring, reinforcement machine learning, q-learning, parallel programming, threads, microservices, Automation, T59.5

Dateibeschreibung: electronic resource

Relation: http://asac.kpi.ua/article/view/261642; https://doaj.org/toc/1560-8956; https://doaj.org/toc/2522-9575

Zugangs-URL: https://doaj.org/article/993691d0b2eb45b290801a347d1d7662

High-Speed Underwater Optical Wireless Communication with Advanced Signal Processing Methods Survey

Autoren: Chengwei Fang, Shuo Li, Yinong Wang, Ke Wang

Quelle: Photonics, Vol 10, Iss 7, p 811 (2023)

Schlagwörter: underwater optical wireless communication (UOWC), digital signal, linear equalizer, nonlinear equalizer, supervised machine learning, reinforcement machine learning, Applied optics. Photonics, TA1501-1820

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2304-6732/10/7/811; https://doaj.org/toc/2304-6732

Zugangs-URL: https://doaj.org/article/cbb24fb4704343068a99752d1adea810

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