Works matching DE "REINFORCEMENT learning"

Results: 5000

Application of adaptive strategy for supply chain agent.

Published in:

Information Systems & e-Business Management, 2019, v. 17, n. 1, p. 117, doi. 10.1007/s10257-018-0378-y

By:

Lee, Yoon Sang;
Sikora, Riyaz

Publication type:

Article

Simple reinforcement learning agents: Pareto beats Nash in an algorithmic game theory study.

Published in:

Information Systems & e-Business Management, 2005, v. 3, n. 1, p. 1, doi. 10.1007/s10257-003-0024-0

By:

Kimbrough, Steven O.;
Ming Lu

Publication type:

Article

Graph Sampling: Boca Raton, FL: Chapman & Hall/CRC Press, 2022, xv+121 pp., $59.95(H), ISBN: 978-1-032-06708-7.

Published in:

2023

By:

Kim, Jae-Kwang

Publication type:

Book Review

A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning.

Published in:

American Statistician, 2023, v. 77, n. 2, p. 223, doi. 10.1080/00031305.2022.2129787

By:

Tec, Mauricio;
Duan, Yunshan;
Müller, Peter

Publication type:

Article

A Comparison of Group-Oriented Contingencies and Randomized Reinforcers to Improve Homework Completion and Accuracy for Students With Disabilities.

Published in:

School Psychology Review, 2009, v. 38, n. 3, p. 307, doi. 10.1080/02796015.2009.12087816

By:

Lynch, AnnMarie;
Theodore, Lea A.;
Bray, Melissa A.;
Kehle, Thomas J.

Publication type:

Article

A New Framework for Cortico-Striatal Plasticity: Behavioural Theory Meets In Vitro Data at the Reinforcement-Action Interface.

Published in:

PLoS Biology, 2015, v. 13, n. 1, p. 1, doi. 10.1371/journal.pbio.1002034

By:

Gurney, Kevin N.;
Humphries, Mark D.;
Redgrave, Peter

Publication type:

Article

Brain Systems for Probabilistic and Dynamic Prediction: Computational Specificity and Integration.

Published in:

PLoS Biology, 2013, v. 11, n. 9, p. 1, doi. 10.1371/journal.pbio.1001662

By:

O'Reilly, Jill X.;
Jbabdi, Saad;
Rushworth, Matthew F. S.;
Behrens, Timothy E. J.

Publication type:

Article

Counterfactual Choice and Learning in a Neural Network Centered on Human Lateral Frontopolar Cortex.

Published in:

PLoS Biology, 2011, v. 9, n. 6, p. 1, doi. 10.1371/journal.pbio.1001093

By:

Boorman, Erie D.;
Behrens, Timothy E.;
Rushworth, Matthew F.

Publication type:

Article

Harmony search Hawks optimization-based Deep reinforcement learning for intrusion detection in IoT using nonnegative matrix factorization.

Published in:

International Journal of Wavelets, Multiresolution & Information Processing, 2021, v. 19, n. 04, p. 1, doi. 10.1142/S0219691320500939

By:

Om Prakash, P. G.;
Maram, Balajee;
Nalinipriya, G.;
Cristin, R.

Publication type:

Article

Continuous-domain ant colony optimization algorithm based on reinforcement learning.

Published in:

International Journal of Wavelets, Multiresolution & Information Processing, 2021, v. 19, n. 3, p. N.PAG, doi. 10.1142/S0219691320500848

By:

Zhang, Wenhui;
Wang, Chenyu;
Lin, Wenjie;
Lin, Jiming

Publication type:

Article

Instructional Technology.

Published in:

Journal of Correctional Education, 1993, v. 44, n. 3, p. 142

By:

Freasier, Aileen W.

Publication type:

Article

Online adaptive algorithm for optimal control with integral reinforcement learning.

Published in:

International Journal of Robust & Nonlinear Control, 2014, v. 24, n. 17, p. 2686, doi. 10.1002/rnc.3018

By:

Vamvoudakis, Kyriakos G.;
Vrabie, Draguna;
Lewis, Frank L.

Publication type:

Article

Laser power planning in directed energy deposition by deep reinforcement learning.

Published in:

International Journal of Advanced Manufacturing Technology, 2024, v. 135, n. 9/10, p. 4683, doi. 10.1007/s00170-024-14767-2

By:

Ren, Kai;
Liu, Ning;
Zhang, Wei;
Chew, Youxiang;
Zhang, Yunfeng;
Fuh, Jerry Yinghsi;
Bi, Guijun

Publication type:

Article

Adaptive optimization of cutting parameters in milling industry considering dynamic tool wear in intelligent manufacturing driven by reinforcement learning.

Published in:

International Journal of Advanced Manufacturing Technology, 2024, v. 133, n. 9/10, p. 4751, doi. 10.1007/s00170-024-13779-2

By:

Gao, Zhilie;
Li, Liang

Publication type:

Article

Automated robotic assembly of shaft sleeve based on reinforcement learning.

Published in:

International Journal of Advanced Manufacturing Technology, 2024, v. 132, n. 3/4, p. 1453, doi. 10.1007/s00170-024-13467-1

By:

Ma, Xumiao;
Xu, De

Publication type:

Article

Research on the algorithm of constant force grinding controller based on reinforcement learning PPO.

Published in:

International Journal of Advanced Manufacturing Technology, 2023, v. 126, n. 7/8, p. 2975, doi. 10.1007/s00170-023-11129-2

By:

Zhang, Tie;
Yuan, Chao;
Zou, Yanbiao

Publication type:

Article

Learning and generalising object extraction skill for contact-rich disassembly tasks: an introductory study.

Published in:

International Journal of Advanced Manufacturing Technology, 2023, v. 124, n. 9, p. 3171, doi. 10.1007/s00170-021-08086-z

By:

Serrano-Muñoz, Antonio;
Arana-Arexolaleiba, Nestor;
Chrysostomou, Dimitrios;
Bøgh, Simon

Publication type:

Article

Deep reinforcement learning applied to an assembly sequence planning problem with user preferences.

Published in:

International Journal of Advanced Manufacturing Technology, 2022, v. 122, n. 11/12, p. 4235, doi. 10.1007/s00170-022-09877-8

By:

Neves, Miguel;
Neto, Pedro

Publication type:

Article

Learning visual path–following skills for industrial robot using deep reinforcement learning.

Published in:

International Journal of Advanced Manufacturing Technology, 2022, v. 122, n. 2, p. 1099, doi. 10.1007/s00170-022-09800-1

By:

Liu, Guoliang;
Sun, Wenlei;
Xie, Wenxian;
Xu, Yangyang

Publication type:

Article

Modeling and analysis of fatigue detection with multi-channel data fusion.

Published in:

International Journal of Advanced Manufacturing Technology, 2022, v. 122, n. 1, p. 291, doi. 10.1007/s00170-022-09364-0

By:

Huang, Wenbo;
Wang, Changyuan;
Jia, Hong-bo;
Xue, Pengxiang;
Wang, Li

Publication type:

Article

Deep Reinforcement Learning for autonomous pre-failure tool life improvement.

Published in:

International Journal of Advanced Manufacturing Technology, 2022, v. 121, n. 9/10, p. 6169, doi. 10.1007/s00170-022-09700-4

By:

Taha, Hussein A.;
Yacout, Soumaya;
Shaban, Yasser

Publication type:

Article

DDPG-based continuous thickness and tension coupling control for the unsteady cold rolling process.

Published in:

International Journal of Advanced Manufacturing Technology, 2022, v. 120, n. 11/12, p. 7277, doi. 10.1007/s00170-022-09239-4

By:

Zeng, Wenying;
Wang, Jinkuan;
Zhang, Yan;
Han, Yinghua;
Zhao, Qiang

Publication type:

Article

Reinforcement learning–based tool orientation optimization for five-axis machining.

Published in:

International Journal of Advanced Manufacturing Technology, 2022, v. 119, n. 11/12, p. 7311, doi. 10.1007/s00170-022-08668-5

By:

Zhang, Yu;
Li, Yingguang;
Xu, Ke

Publication type:

Article

Tool remaining useful life prediction using deep transfer reinforcement learning based on long short-term memory networks.

Published in:

International Journal of Advanced Manufacturing Technology, 2022, v. 118, n. 3/4, p. 1077, doi. 10.1007/s00170-021-07950-2

By:

Yao, Jiachen;
Lu, Baochun;
Zhang, Junli

Publication type:

Article

Contour error modeling and compensation of CNC machining based on deep learning and reinforcement learning.

Published in:

International Journal of Advanced Manufacturing Technology, 2022, v. 118, n. 1/2, p. 551, doi. 10.1007/s00170-021-07895-6

By:

Jiang, Yakun;
Chen, Jihong;
Zhou, Huicheng;
Yang, Jianzhong;
Hu, Pengcheng;
Wang, Junxiang

Publication type:

Article

Task-level decision-making for dynamic and stochastic human-robot collaboration based on dual agents deep reinforcement learning.

Published in:

International Journal of Advanced Manufacturing Technology, 2021, v. 115, n. 11/12, p. 3533, doi. 10.1007/s00170-021-07265-2

By:

Liu, Zhihao;
Liu, Quan;
Wang, Lihui;
Xu, Wenjun;
Zhou, Zude

Publication type:

Article

Machine learning for clothing manufacture as a mean to respond quicker and better to the demands of clothing brands: a Greek case study.

Published in:

International Journal of Advanced Manufacturing Technology, 2021, v. 115, n. 3, p. 691, doi. 10.1007/s00170-020-06157-1

By:

Papachristou, Evridiki;
Chrysopoulos, Antonios;
Bilalis, Nikolaos

Publication type:

Article

Improving the surface quality of friction stir welds using reinforcement learning and Bayesian optimization.

Published in:

International Journal of Advanced Manufacturing Technology, 2020, v. 110, n. 11/12, p. 3145, doi. 10.1007/s00170-020-05696-x

By:

Hartl, R.;
Hansjakob, J.;
Zaeh, M. F.

Publication type:

Article

Review of tool condition monitoring in machining and opportunities for deep learning.

Published in:

International Journal of Advanced Manufacturing Technology, 2020, v. 109, n. 3/4, p. 953, doi. 10.1007/s00170-020-05449-w

By:

Serin, G.;
Sener, B.;
Ozbayoglu, A. M.;
Unver, H. O.

Publication type:

Article

A study on automatic fixture design using reinforcement learning.

Published in:

International Journal of Advanced Manufacturing Technology, 2020, v. 107, n. 5/6, p. 2303, doi. 10.1007/s00170-020-05156-6

By:

Low, Darren Wei Wen;
Neo, Dennis Wee Keong;
Kumar, A. Senthil

Publication type:

Article

Robotic constant-force grinding control with a press-and-release model and model-based reinforcement learning.

Published in:

International Journal of Advanced Manufacturing Technology, 2020, v. 106, n. 1/2, p. 589, doi. 10.1007/s00170-019-04614-0

By:

Zhang, Tie;
Xiao, Meng;
Zou, Yanbiao;
Xiao, Jiadong

Publication type:

Article

Modeling, planning, and scheduling of shop-floor assembly process with dynamic cyber-physical interactions: a case study for CPS-based smart industrial robot production.

Published in:

International Journal of Advanced Manufacturing Technology, 2019, v. 105, n. 9, p. 3979, doi. 10.1007/s00170-019-03940-7

By:

Tan, Qingmeng;
Tong, Yifei;
Wu, Shaofeng;
Li, Dongbo

Publication type:

Article

Reinforcement learning–based design of orienting devices for vibratory bowl feeders.

Published in:

International Journal of Advanced Manufacturing Technology, 2019, v. 105, n. 9, p. 3631, doi. 10.1007/s00170-019-03798-9

By:

Stocker, Cosima;
Schmid, Marc;
Reinhart, Gunther

Publication type:

Article

An intelligent weld control strategy based on reinforcement learning approach.

Published in:

International Journal of Advanced Manufacturing Technology, 2019, v. 100, n. 9-12, p. 2163, doi. 10.1007/s00170-018-2864-2

By:

Jin, Zeshi;
Li, Haichao;
Gao, Hongming

Publication type:

Article

Reinforcement learning-based flow management of gas turbine parts under stochastic failures.

Published in:

International Journal of Advanced Manufacturing Technology, 2018, v. 99, n. 9-12, p. 2981, doi. 10.1007/s00170-018-2690-6

By:

Compare, Michele;
Bellani, Luca;
Cobelli, Enrico;
Zio, Enrico

Publication type:

Article

DB-BERT: making database tuning tools "read" the manual.

Published in:

VLDB Journal International Journal on Very Large Data Bases, 2024, v. 33, n. 4, p. 1085, doi. 10.1007/s00778-023-00831-y

By:

Trummer, Immanuel

Publication type:

Article

Sub-trajectory clustering with deep reinforcement learning.

Published in:

VLDB Journal International Journal on Very Large Data Bases, 2024, v. 33, n. 3, p. 685, doi. 10.1007/s00778-023-00833-w

By:

Liang, Anqi;
Yao, Bin;
Wang, Bo;
Liu, Yinpei;
Chen, Zhida;
Xie, Jiong;
Li, Feifei

Publication type:

Article

Anytime bottom-up rule learning for large-scale knowledge graph completion.

Published in:

VLDB Journal International Journal on Very Large Data Bases, 2024, v. 33, n. 1, p. 131, doi. 10.1007/s00778-023-00800-5

By:

Meilicke, Christian;
Chekol, Melisachew Wudage;
Betz, Patrick;
Fink, Manuel;
Stuckeschmidt, Heiner

Publication type:

Article

CDBTune+: An efficient deep reinforcement learning-based automatic cloud database tuning system.

Published in:

VLDB Journal International Journal on Very Large Data Bases, 2021, v. 30, n. 6, p. 959, doi. 10.1007/s00778-021-00670-9

By:

Zhang, Ji;
Zhou, Ke;
Li, Guoliang;
Liu, Yu;
Xie, Ming;
Cheng, Bin;
Xing, Jiashu

Publication type:

Article

Design of one-dimensional acoustic metamaterials using machine learning and cell concatenation.

Published in:

Structural & Multidisciplinary Optimization, 2021, v. 63, n. 5, p. 2399, doi. 10.1007/s00158-020-02819-6

By:

Wu, Rih-Teng;
Liu, Ting-Wei;
Jahanshahi, Mohammad R.;
Semperlotti, Fabio

Publication type:

Article

Framework for design optimization using deep reinforcement learning.

Published in:

Structural & Multidisciplinary Optimization, 2019, v. 60, n. 4, p. 1709, doi. 10.1007/s00158-019-02276-w

By:

Yonekura, Kazuo;
Hattori, Hitoshi

Publication type:

Article

A method for model selection using reinforcement learning when viewing design as a sequential decision process.

Published in:

Structural & Multidisciplinary Optimization, 2019, v. 59, n. 5, p. 1521, doi. 10.1007/s00158-018-2145-6

By:

Chhabra, Jaskanwal P. S.;
Warn, Gordon P.

Publication type:

Article

Reinforcement Learning in Cyber Wargaming Defense.

Published in:

Industrial & Systems Engineering Review (ISER), 2023, v. 11, n. 1/2, p. 60, doi. 10.37266/ISER.2023v11i1-2.pp60-66

By:

Chedzoy, Joseph;
Tobias, D'Andre;
Miller, Joseph;
Hwang, Max;
Geisler, Trent

Publication type:

Article

Kalman reinforcement learning-based provably secured smart grid false data intrusion detection and resilience enhancement.

Published in:

Electrical Engineering, 2025, v. 107, n. 3, p. 2883, doi. 10.1007/s00202-024-02677-1

By:

Pasumponthevar, Mohana Karthiga;
Jeyaraj, Pandia Rajan

Publication type:

Article

Automatic generation control of is-landed micro-grid using integral reinforcement learning-based adaptive optimal control strategy.

Published in:

Electrical Engineering, 2025, v. 107, n. 3, p. 3135, doi. 10.1007/s00202-024-02648-6

By:

Muduli, Rasananda;
Jena, Debashisha;
Moger, Tukaram

Publication type:

Article

Adaptive intelligent vision-based control of a flexible-link manipulator.

Published in:

Electrical Engineering, 2023, v. 105, n. 5, p. 3263, doi. 10.1007/s00202-023-01875-7

By:

Sahu, Umesh Kumar;
Patra, Dipti;
Subudhi, Bidyadhar

Publication type:

Article

Deep reinforcement learning-based network for optimized power flow in islanded DC microgrid.

Published in:

Electrical Engineering, 2023, v. 105, n. 5, p. 2805, doi. 10.1007/s00202-023-01835-1

By:

Jeyaraj, Pandia Rajan;
Asokan, Siva Prakash;
Kathiresan, Aravind Chellachi;
Nadar, Edward Rajan Samuel

Publication type:

Article

Mitigation of take-or-pay concept drawbacks in hybrid microgrid.

Published in:

Electrical Engineering, 2023, v. 105, n. 1, p. 61, doi. 10.1007/s00202-022-01643-z

By:

Aklo, Nabil Jalil;
Rashid, Mofeed Turky

Publication type:

Article

Reinforcement-learning-based damping control scheme of a PV plant in wide-area measurement system.

Published in:

Electrical Engineering, 2022, v. 104, n. 6, p. 4213, doi. 10.1007/s00202-022-01615-3

By:

Abdulrahman, Ismael

Publication type:

Article

Reinforcement learning-based demand-side management by smart charging of electric vehicles.

Published in:

Electrical Engineering, 2022, v. 104, n. 6, p. 3933, doi. 10.1007/s00202-022-01597-2

By:

Ozcelik, Melik Bugra;
Kesici, Mert;
Aksoy, Necati;
Genc, Istemihan

Publication type:

Article