Applying reinforcement learning method for real-time energy managementBorhan Dayani, Aida; Fazlollahtabar, Hamed; Ahmadiahangar, Roya; Rosin, Argo2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)2019 / 5 p. : ill https://doi.org/10.1109/EEEIC.2019.8783766

Constrained intelligent frequency control in an AC Microgrid : an Online reinforcement learning based PID tuning approachNosrati, Komeil; Tepljakov, Aleksei; Petlenkov, Eduard; Škiparev, Vjatšeslav; Belikov, Juri; Levron, Yoash2023 IEEE Power & Energy Society General Meeting (PESGM)2023 / 5 p. : ill https://doi.org/10.1109/PESGM52003.2023.10252482

Coordinated PI-based frequency deviation control of isolated hybrid microgrid : an online multi-agent tuning approach via reinforcement learningNosrati, Komeil; Tepljakov, Aleksei; Petlenkov, Eduard; Levron, Yoash; Škiparev, Vjatšeslav; Belikov, Juri2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) : proceedings2022 / p. 1-5 : ill https://doi.org/10.1109/ISGT-Europe54678.2022.9960311

Digital twin simulations based reinforcement learning for navigation and control of a wheel-on-leg mobile robotAlsaleh, Saleh Ragheb Saleh; Tepljakov, Aleksei; Tamre, Mart; Kuts, Vladimir; Petlenkov, EduardProceedings of ASME 2022 International Mechanical Engineering Congress and Exposition (IMECE2022), 2B: Columbus, Ohio, USA, October 30 - November 3, 20222022 / art. IMECE2022-95411, V02BT02A025, 8 p https://doi.org/10.1115/IMECE2022-95411

EcoLight : Eco-friendly traffic signal control driven by urban noise predictionOunoughi, Chahinez; Touibi, Ghofrane; Ben Yahia, SadokDatabase and Expert Systems Applications : 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022 : proceedings, Part I2022 / p. 205–219 https://doi.org/10.1007/978-3-031-12423-5_16 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

An enhanced NN-based load frequency control design of MGs : a fractional order modeling methodŠkiparev, Vjatšeslav; Nosrati, Komeil; Belikov, Juri; Tepljakov, Aleksei; Petlenkov, Eduard2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2023 / 6 p https://doi.org/10.1109/CPE-POWERENG58103.2023.10227392

Frequency and power allocation schemes for heterogeneous networks including femto cellsAhmed, Tauseef; Le Moullec, Yannick2015 23rd Telecommunications Forum (TELFOR) : Belgrade, Serbia, November, 24-26, 2015 : proceedings of papers = XXIII Телекомуникациони Форум ТЕЛФОР 2015 : зборник радова2015 / p. 277-280 : ill http://dx.doi.org/10.1109/TELFOR.2015.7377464

Intelligent control of robots with minimal power consumption in pick-and-place operationsVodovozov, Valery; Raud, Zoja; Petlenkov, EduardEnergies2023 / art. 7418 https://doi.org/10.3390/en16217418

Joint optimization via deep reinforcement learning in wireless networked controlled systemsAshraf, Kanwal; Le Moullec, Yannick; Pardy, Tamas; Rang, ToomasIEEE Access2022 / p. 67152-67167 https://doi.org/10.1109/ACCESS.2022.3185244 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g eraJameel, Furqan; Sharma, Navuday; Khan, Muhammad Awais; Khan, Imran; Alam, Muhammad Mahtab; Alam, Muhammad Mahtab; Mavromoustakis, Constandinos X.Internet of Things / 2020 https://doi.org/10.1007/978-3-030-44907-0_8 Article collection metrics at Scopus Article at Scopus

Management of braking energy in electric vehicles using reinforcement learningVodovozov, Valery; Raud, Zoja; Petlenkov, Eduard2023 International Conference on Clean Electrical Power (ICCEP)2023 / p. 559-564 https://doi.org/10.1109/ICCEP57914.2023.10247359

MIMO reinforcement learning based approach for frequency support in microgrids with high renewable energy penetrationŠkiparev, Vjatšeslav; Belikov, Juri; Petlenkov, Eduard2021 IEEE Power & Energy Society General Meeting (PESGM), 26-29 July 20212021 / 5 p. : ill https://doi.org/10.1109/PESGM46819.2021.9637942

On coverage of critical nodes in UAV-assisted emergency networksWaheed, Maham; Ahmad, Rizwan; Ahmed, Waqas; Alam, Muhammad Mahtab; Magarini, MaurizioSensors2023 / art. 1586 https://doi.org/10.3390/s23031586

Optimal tuning of fractional order sliding mode controller for PMSM speed using neural network with reinforcement learningZahraoui, Younes; Zaihidee, Fardila M.; Kermadi, Mostefa; Mekhilef, Saad; Alhamrouni, Ibrahim; Seyedmahmoudian, Mehdi; Stojcevski, AlexEnergies2023 / art. 4353 https://doi.org/10.3390/en16114353

Optimization of channel allocation in wireless body area networks by means of reinforcement learningAhmed, Tauseef; Ahmed, Faisal; Le Moullec, YannickAPWiMob : IEEE Asia Pacific Conference on Wireless and Mobile 2016 : conference proceedings : 13-15 September 2016, Grand Royal Panghegar Hotel, Bandung, Indonesia2016 / p. 120-123 : ill https://doi.org/10.1109/APWiMob.2016.7811445

Power-efficient frequency allocation algorithms for self-organized networksAhmed, Tauseef; Le Moullec, Yannick2015 Advances in Wireless and Optical Communications RTUWO : 5-6 November 2015, Riga, Latvia : proceedings2015 / p. 142-145 : ill http://dx.doi.org/10.1109/RTUWO.2015.7365738

A QoS optimization approach in cognitive body area networks for healthcare applicationsAhmed, Tauseef; Le Moullec, YannickSensors2017 / art. 780, p. 1-23 : ill http://dx.doi.org/10.3390/s17040780

Reinforcement learning based approach for virtual inertia control in microgrids with renewable energy sourcesŠkiparev, Vjatšeslav; Belikov, Juri; Petlenkov, EduardProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 October, 20202020 / p. 1020-1024 https://doi.org/10.1109/ISGT-Europe47291.2020.9248777

A reinforcement learning routing protocol for UAV aided public safety networksMinhas, Hassan Ishtiaq; Ahmad, Rizwan; Ahmed, Waqas; Waheed, Maham; Alam, Muhammad Mahtab; Gul, Sufi TabassumSensors2021 / Art. nr. 4121 https://doi.org/10.3390/s21124121 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Reward function evaluation in a reinforcement learning approach for energy management [Online resource]Rioual, Yohann; Le Moullec, Yannick; Laurent, Johann; Khan, Muhidul Islam; Diguet, Jean-PhilippeBEC 2018 : 2018 16th Biennial Baltic Electronics Conference (BEC) :  proceedings of the 16th Biennial Baltic Electronics Conference, October 8-10, 20182019 / 4 p https://doi.org/10.1109/BEC.2018.8600992

Simulation study of processes in electric vehicles under braking control based on reinforcement learningVodovozov, Valery; Raud, Zoja; Petlenkov, Eduard2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2023 / 5 p https://doi.org/10.1109/CPE-POWERENG58103.2023.10227478

Using reinforcement learning to optimize the acceptance threshold of a credit scoring modelHerasymovych, Mykola; Märka, Karl; Lukason, OliverApplied Soft Computing Journal2019 / Art. 105697 https://doi.org/10.1016/j.asoc.2019.105697 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS