Otsing - TalTech teadusportaal

Publikatsioonid
Profiilid
Uurimisrühmad
Registrid
Abi ja info
Switch to English

Publikatsioonid

Publikatsioonid

Liitotsing

Valitud kirjed 0

reinforcement learning (võtmesõna)

—

—

Lisa tingimus Lihtotsing filter

Tühista

teaviku laadid

raamat ..

artikkel ajakirjas ..

artikkel ajalehes ..

artikkel kogumikus ..

dissertatsioon ..

Open Access ..

Teaduspublikatsioon ..

aasta

Toon andmeid..

Toon andmeid..

TTÜ struktuuriüksus

Toon andmeid..

Toon andmeid..

Toon andmeid..

Toon andmeid..

Toon andmeid..

Tühista

Kirjeid leitud 22
Vaata veel.. (3/231)
Ekspordi

ekspordi kõik päringu tulemused (22)
Salvesta TXT fail

Salvesta PDF fail

prindi
Märgitud kirjetega toimetamiseks ava valitud kirjed

kuva

reasta
1

artikkel kogumikus

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

artikkel kogumikus
2

artikkel kogumikus

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

artikkel kogumikus
Seotud publikatsioonid 1
- Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
3

artikkel kogumikus

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

artikkel kogumikus
Seotud publikatsioonid 1
- Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
4

artikkel kogumikus

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

artikkel kogumikus
Seotud publikatsioonid 1
- Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
5

artikkel kogumikus EST / artikkel kogumikus ENG

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

artikkel kogumikus EST / artikkel kogumikus ENG
Seotud publikatsioonid 1
- Urban traffic : data fusion and vehicle flow prediction in smart cities = Linnaliiklus : andmete ühtesulamine ja sõidukite voo prognoosimine nutikates linnades
6

artikkel kogumikus

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

artikkel kogumikus
Seotud publikatsioonid 1
- Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
7

artikkel kogumikus

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

artikkel kogumikus
8

artikkel ajakirjas EST / artikkel ajakirjas ENG

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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
9

artikkel ajakirjas EST / artikkel ajakirjas ENG

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

artikkel ajakirjas EST / artikkel ajakirjas ENG
Seotud publikatsioonid 1
- Co-design of wireless networked control systems : model-based architecture and joint optimization = Juhtmevabade võrgustatud juhtimissüsteemide koosdisain : mudelipõhine arhitektuur ja ühisoptimeerimine
10

artikkel kogumikus EST / artikkel kogumikus ENG

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

artikkel kogumikus EST / artikkel kogumikus ENG
11

artikkel kogumikus

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

artikkel kogumikus
12

artikkel kogumikus

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

artikkel kogumikus
Seotud publikatsioonid 1
- Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
13

artikkel ajakirjas EST / artikkel ajakirjas ENG

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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
14

artikkel ajakirjas EST / artikkel ajakirjas ENG

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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
15

artikkel kogumikus

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

artikkel kogumikus
16

artikkel kogumikus

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

artikkel kogumikus
17

artikkel ajakirjas EST / artikkel ajakirjas ENG

A QoS optimization approach in cognitive body area networks for healthcare applicationsAhmed, Tauseef; Le Moullec, YannickSensors2017 / art. 780, p. 1-23 : ill https://doi.org/10.3390/s17040780 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
18

artikkel kogumikus

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

artikkel kogumikus
Seotud publikatsioonid 1
- Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
19

artikkel ajakirjas EST / artikkel ajakirjas ENG

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

artikkel ajakirjas EST / artikkel ajakirjas ENG
20

artikkel kogumikus

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

artikkel kogumikus
21

artikkel kogumikus

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

artikkel kogumikus
22

artikkel ajakirjas EST / artikkel ajakirjas ENG

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

artikkel ajakirjas EST / artikkel ajakirjas ENG

Kirjeid leitud 22, kuvan 1 - 22

1. cooperative reinforcement learning
2. deep reinforcement learning
3. distributed independent reinforcement learning
4. inverse reinforcement learning
5. Multi-agent reinforcement learning
6. reinforcement learning
7. Reinforcement Learning (RL)
8. true online reinforcement learning
9. carbide reinforcement
10. cermet reinforcement
11. concrete reinforcement
12. fiber reinforcement
13. glass-fiber reinforcement
14. hardmetal reinforcement
15. Helical reinforcement
16. in situ reinforcement
17. particulate reinforcement mass fraction
18. reinforcement
19. reinforcement mass fraction
20. twomodal reinforcement
21. WC reinforcement
22. active blended learning
23. active learning
24. active learning methods
25. adversarial machine learning
26. adversarial machine-learning
27. algorithm controlling the learning process
28. appetitive associative learning
29. approach to learning
30. Attitude to learning
31. authoritarian learning
32. automata learning
33. automatic machine learning (autoML)
34. BIM-enabled learning
35. BIM-enabled learning environment
36. blended learning
37. business school as learning organization
38. business school learning organization questionnaire (BSLOQ)
39. business school learning rate dependence on GPD
40. business school learning rate measurement instrument
41. client learning
42. Collaborative e-learning
43. collaborative learning
44. competence based learning
45. competence learning
46. competence-based learning
47. competency based learning
48. Component organised learning (COL)
49. computer assisted language learning
50. computer based learning
51. computer-assisted language learning (CALL)
52. coping with online teaching and learning
53. customer learning
54. deep learning
55. deep learning (DL)
56. deep learning classifier
57. deep learning model
58. deep learning model quantization
59. deep learning network
60. Deep reinforcing learning SDN
61. Deep-learning
62. deep-learning (DL)
63. dictionary learning
64. digital learning module
65. Dimensions of Learning Organisation Questionnaire (DLOQ)
66. distance learning
67. distant learning
68. double Q-learning
69. effective teaching and learning
70. e-learning
71. e‐learning
72. e-Learning course
73. e-Learning database
74. e-learning environment
75. electronic learning
76. embedded deep learning
77. Emergency remote learning
78. ensemble learning
79. enterprising and entrepreneurial learning
80. entrepreneurial learning
81. entrepreneurial teaching and learning
82. experiential learning
83. False data injection attack; Machine learning; Matlab; Python; State estimation; Sudden load change
84. Federated learning
85. federated learning (FL)
86. flexible learning
87. game based learning
88. game-based learning
89. graph machine learning
90. guided in-service learning
91. hands-on-learning
92. history learning
93. hybrid learning
94. incremental learning
95. inductive learning
96. inductive learning algorithm
97. interactive learning objects
98. interdisciplinary learning
99. interpretable machine learning
100. investor learning
101. iterative learning
102. Learner-centered learning environment
103. learning
104. learning (artificial intelligence)
105. learning activities
106. learning adaptation in autonomous vehicles
107. learning algorithm
108. learning analysis
109. learning analytics
110. learning and experimentation
111. learning and health outcomes
112. learning and memory
113. learning business school
114. learning by teaching
115. learning concept
116. learning design
117. learning difficulties
118. Learning environment
119. learning experience
120. learning infrastructures
121. Learning Lab
122. learning management
123. learning management system
124. learning management systems
125. learning methodology
126. learning metrics
127. learning models
128. learning motivation
129. learning objectives
130. learning objects
131. learning organization
132. learning orientation
133. learning outcomes
134. learning process
135. learning processes
136. learning rate
137. learning rate dependence on ownership form
138. learning rate of organization
139. learning region
140. learning situation
141. learning software agents
142. learning styles
143. learning systems
144. learning technologies
145. learning theories
146. learning through the questionnaires
147. learning university
148. learning-to-rank
149. lifelong learning
150. machine learning
151. machine learning (ML)
152. machine learning algorithms
153. machine learning approach
154. Machine Learning Explainable model
155. machine learning for environmental applications
156. machine learning models
157. machine learning systems
158. machine-learning
159. machine-learning predictive model
160. mathematics students learning habits
161. Meaningful learning
162. measuring learning
163. mobile learning
164. model learning
165. mutual learning
166. new learning models
167. node embedding learning
168. NREN e-learning
169. on-device transfer learning
170. online learning
171. ontologies for learning systems
172. ontology learning
173. organisational learning
174. organizational learning
175. organizational learning measurement instruments
176. organizational learning rate dependence on management
177. organizational learning rate measurement
178. outcome oriented learning
179. Parkinson’s disease machine learning
180. peer‐to‐peer learning group
181. personalised learning
182. policy learning
183. problem-based learning
184. Problem-based learning (PBL)
185. project learning
186. project-based learning
187. Q-learning
188. Q-learning algorithm
189. query learning
190. regional learning
191. relative learning performance
192. Remote learning
193. research-oriented learning
194. reusable learning objects
195. robust machine learning
196. scholarship of teaching and learning
197. self learning software
198. self learning system
199. self-learning
200. self-regulated learning
201. semi-supervised learning
202. small data machine learning
203. smart learning
204. smart learning environment
205. social learning
206. stochastic learning theory
207. supervised learning
208. supervised learning data
209. supervised machine learning
210. task based learning
211. team learning
212. Technological learning
213. technology-enhanced learning
214. the dimensions of the learning organisation
215. the dimensions of the learning organization questionnaire (DLOQ)
216. tools for interactive learning and teaching
217. trans-disciplinary social-learning
218. transfer learning
219. ubiquitous learning
220. unsupervised learning
221. unsupervised machine learning
222. urban learning center
223. value of learning
224. web and computerbased learning
225. Web and computer-based learning
226. virtual learning environment
227. virtual learning factory
228. work-based learning
229. workplace learning

1. ELIXIR Machine Learning Focus Group

1. UNDP Urban Learning Center

vaste

reasta

Otsing
Valikud 0

ilmumisaasta

autor

TTÜ struktuuriüksus

märksõna

seeria-sari

tema kohta

võtmesõna

TalTech Raamatukogu

Akadeemia tee 1

13519

TalTech koduleht TalTech Raamatukogu koduleht Digikogu Digiteek Teadusandmed

6203551

data@taltech.ee

TalTech Raamatukogu