Search Results - "Deep reinforcement learning"
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Authors: Alqudaihi, Ali Ahmed1 (AUTHOR) aalqudaihi@jazanu.edu.sa
Source: EPJ Web of Conferences. 6/26/2026, Vol. 375, p1-11. 11p.
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Source: International Journal of Interactive Mobile Technologies; 2026, Vol. 20 Issue 12, p140-153, 14p
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Source: Information Systems Research (INFORMS). Mar2025, Vol. 36 Issue 1, p637-646. 10p.
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Source: Information Systems Research (INFORMS). Mar2025, Vol. 36 Issue 1, p534-551. 18p.
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Authors: et al.
Source: Manufacturing & Service Operations Management (M&SOM) (INFORMS). Mar/Apr2025, Vol. 27 Issue 2, p369-388. 20p.
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Source: INFORMS Journal on Computing. Mar/Apr2025, Vol. 37 Issue 2, p315-337. 23p.
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Authors: et al.
Source: IISE Transactions. Dec2025, Vol. 57 Issue 12, p1391-1406. 16p.
Subjects: Reinforcement learning, Deep reinforcement learning, Image recognition (Computer vision), Recurrent neural networks, Data quality
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Alternate Title: A Comparison of Tabular and Deep Reinforcement Learning for Battery Management.
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Source: Electrotechnical Review / Elektrotehniski Vestnik. 2026, Vol. 93 Issue 1/2, p63-68. 6p.
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Source: Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.). Sep2025, Vol. 25 Issue 5, p4774-4786. 13p.
Subjects: Reinforcement learning, Deep reinforcement learning, Long short-term memory, Markov processes, Electric power distribution grids, Deep learning
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Authors: et al.
Source: IISE Transactions. Sep2025, Vol. 57 Issue 9, p1027-1040. 14p.
Subjects: Artificial neural networks, Deep reinforcement learning, Transformer models, Resource-limited settings, Time series analysis
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Source: Automatika: Journal for Control, Measurement, Electronics, Computing & Communications. Aug2025, Vol. 66 Issue 3, p475-490. 16p.
Subjects: Artificial neural networks, Deep reinforcement learning, Federated learning, Sensor networks, Energy consumption
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Source: Journal of Intelligent Manufacturing. Aug2025, Vol. 36 Issue 6, p4331-4350. 20p.
Subjects: Deep reinforcement learning, Aluminum alloy welding, Laser welding, Machine learning, Production engineering, Reinforcement learning
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Source: Scalable Computing: Practice & Experience. Sep2025, Vol. 26 Issue 5, p1964-1973. 10p.
Subjects: Deep reinforcement learning, Machine learning, Robot motion, PID controllers, Motion control devices
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Authors: et al.
Source: INFORMS Journal on Optimization. Winter2024, Vol. 6 Issue 1, p1-18. 18p.
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Authors: et al.
Source: Communications of the ACM; Nov2025, Vol. 68 Issue 11, p80-90, 11p
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Authors: et al.
Source: INFORMS Journal on Applied Analytics. Sep/Oct2023, Vol. 53 Issue 5, p372-387. 16p.
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Authors: et al.
Source: Management Science (INFORMS). Sep2023, Vol. 69 Issue 9, p5439-5460. 22p. 4 Diagrams, 5 Charts, 9 Graphs.
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Source: Engineering, Technology & Applied Science Research; Oct2025, Vol. 15 Issue 5, p27931-27937, 7p
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Authors: et al.
Source: PLoS ONE. 9/18/2025, Vol. 20 Issue 9, p1-19. 19p.
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