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reinforcement learning (võtmesõna)
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1
artikkel kogumikus
Applying reinforcement learning method for real-time energy management
Borhan Dayani, Aida
;
Fazlollahtabar, Hamed
;
Ahmadiahangar, Roya
;
Rosin, Argo
2019 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 ajakirjas EST
/
artikkel ajakirjas ENG
Bandit-based learning-aided full-duplex/half-duplex mode selection in 6G cooperative relay networks
Nomikos, Nikolaos
;
Charalambous, Themistoklis
;
Trakadas, Panagiotis
;
Wichman, Risto
IEEE Open Journal of the Communications Society
2024
/
p. 1415-1429 : ill
https://doi.org/10.1109/OJCOMS.2024.3370476
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
3
artikkel ajakirjas
Comparative Analysis of Optimal Control and Reinforcement Learning Methods for Energy Storage Management Under Uncertainty
Ginzburg-Ganz, Elinor
;
Segev, Itay
;
Levron, Yoash
;
Belikov, Juri
;
Baimel, Dmitry
;
Keren, Sarah
Energy storage and applications
2025
/
art. 14, 22 p. : ill
https://doi.org/10.3390/esa2040014
artikkel ajakirjas
4
artikkel kogumikus
Constrained intelligent frequency control in an AC Microgrid : an Online reinforcement learning based PID tuning approach
Nosrati, Komeil
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
;
Škiparev, Vjatšeslav
;
Belikov, Juri
;
Levron, Yoash
2023 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
5
artikkel kogumikus
Coordinated PI-based frequency deviation control of isolated hybrid microgrid : an online multi-agent tuning approach via reinforcement learning
Nosrati, Komeil
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
;
Levron, Yoash
;
Škiparev, Vjatšeslav
;
Belikov, Juri
2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) : proceedings
2022
/
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
6
artikkel kogumikus EST
/
artikkel kogumikus ENG
Data-driven approaches based microwave filter tuning - a review
Sekhri, Even
;
Tamre, Mart
;
Kapoor, Rajiv
Advances in Artificial-Business Analytics and Quantum Machine Learning : Select Proceedings of the 3rd International Conference, Com-IT-Con 2023, Volume 2
2024
/
p. 273-286
https://doi.org/10.1007/978-981-97-4860-0_22
Conference proceedings at Scopus
Article at Scopus
artikkel kogumikus EST
/
artikkel kogumikus ENG
Seotud publikatsioonid
1
Fully automated tuning of microwave coaxial cavity filters = Mikrolaine-koaksiaalfiltrite täisautomaatne häälestamine
7
artikkel kogumikus
Digital twin simulations based reinforcement learning for navigation and control of a wheel-on-leg mobile robot
Alsaleh, Saleh Ragheb Saleh
;
Tepljakov, Aleksei
;
Tamre, Mart
;
Kuts, Vladimir
;
Petlenkov, Eduard
Proceedings of ASME 2022 International Mechanical Engineering Congress and Exposition (IMECE2022), 2B: Columbus, Ohio, USA, October 30 - November 3, 2022
2022
/
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
8
artikkel kogumikus EST
/
artikkel kogumikus ENG
EcoLight : Eco-friendly traffic signal control driven by urban noise prediction
Ounoughi, Chahinez
;
Touibi, Ghofrane
;
Ben Yahia, Sadok
Database and Expert Systems Applications : 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022 : proceedings, Part I
2022
/
p. 205–219
https://doi.org/10.1007/978-3-031-12423-5_16
Conference Proceedings at Scopus
Article at Scopus
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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
9
artikkel kogumikus
An enhanced NN-based load frequency control design of MGs : a fractional order modeling method
Škiparev, Vjatšeslav
;
Nosrati, Komeil
;
Belikov, Juri
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
2023 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
10
artikkel kogumikus
Frequency and power allocation schemes for heterogeneous networks including femto cells
Ahmed, Tauseef
;
Le Moullec, Yannick
2015 23rd Telecommunications Forum (TELFOR) : Belgrade, Serbia, November, 24-26, 2015 : proceedings of papers = XXIII Телекомуникациони Форум ТЕЛФОР 2015 : зборник радова
2015
/
p. 277-280 : ill
http://dx.doi.org/10.1109/TELFOR.2015.7377464
artikkel kogumikus
11
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Intelligent control of robots with minimal power consumption in pick-and-place operations
Vodovozov, Valery
;
Raud, Zoja
;
Petlenkov, Eduard
Energies
2023
/
art. 7418
https://doi.org/10.3390/en16217418
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
12
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Intelligent frequency control of AC microgrids with communication delay : an online tuning method subject to stabilizing parameters
Nosrati, Komeil
;
Škiparev, Vjatšeslav
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
;
Belikov, Juri
Energy and AI
2024
/
art. 100421
https://doi.org/10.1016/j.egyai.2024.100421
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
13
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Joint optimization via deep reinforcement learning in wireless networked controlled systems
Ashraf, Kanwal
;
Le Moullec, Yannick
;
Pardy, Tamas
;
Rang, Toomas
IEEE Access
2022
/
p. 67152-67167
https://doi.org/10.1109/ACCESS.2022.3185244
Journal metrics at Scopus
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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
14
artikkel kogumikus EST
/
artikkel kogumikus ENG
Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g era
Jameel, 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
15
artikkel kogumikus
Management of braking energy in electric vehicles using reinforcement learning
Vodovozov, Valery
;
Raud, Zoja
;
Petlenkov, Eduard
2023 International Conference on Clean Electrical Power (ICCEP)
2023
/
p. 559-564
https://doi.org/10.1109/ICCEP57914.2023.10247359
artikkel kogumikus
16
artikkel kogumikus
MIMO reinforcement learning based approach for frequency support in microgrids with high renewable energy penetration
Škiparev, Vjatšeslav
;
Belikov, Juri
;
Petlenkov, Eduard
2021 IEEE Power & Energy Society General Meeting (PESGM), 26-29 July 2021
2021
/
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
17
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
On coverage of critical nodes in UAV-assisted emergency networks
Waheed, Maham
;
Ahmad, Rizwan
;
Ahmed, Waqas
;
Alam, Muhammad Mahtab
;
Magarini, Maurizio
Sensors
2023
/
art. 1586
https://doi.org/10.3390/s23031586
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
18
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Optimal tuning of fractional order sliding mode controller for PMSM speed using neural network with reinforcement learning
Zahraoui, Younes
;
Zaihidee, Fardila M.
;
Kermadi, Mostefa
;
Mekhilef, Saad
;
Alhamrouni, Ibrahim
;
Seyedmahmoudian, Mehdi
;
Stojcevski, Alex
Energies
2023
/
art. 4353
https://doi.org/10.3390/en16114353
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
19
artikkel kogumikus
Optimization of channel allocation in wireless body area networks by means of reinforcement learning
Ahmed, Tauseef
;
Ahmed, Faisal
;
Le Moullec, Yannick
APWiMob : IEEE Asia Pacific Conference on Wireless and Mobile 2016 : conference proceedings : 13-15 September 2016, Grand Royal Panghegar Hotel, Bandung, Indonesia
2016
/
p. 120-123 : ill
https://doi.org/10.1109/APWiMob.2016.7811445
artikkel kogumikus
20
artikkel kogumikus
Power-efficient frequency allocation algorithms for self-organized networks
Ahmed, Tauseef
;
Le Moullec, Yannick
2015 Advances in Wireless and Optical Communications RTUWO : 5-6 November 2015, Riga, Latvia : proceedings
2015
/
p. 142-145 : ill
http://dx.doi.org/10.1109/RTUWO.2015.7365738
artikkel kogumikus
21
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
A QoS optimization approach in cognitive body area networks for healthcare applications
Ahmed, Tauseef
;
Le Moullec, Yannick
Sensors
2017
/
art. 780, p. 1-23 : ill
https://doi.org/10.3390/s17040780
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Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
22
artikkel kogumikus
Reinforcement learning based approach for virtual inertia control in microgrids with renewable energy sources
Škiparev, Vjatšeslav
;
Belikov, Juri
;
Petlenkov, Eduard
Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 October, 2020
2020
/
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
23
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Reinforcement learning model-based and model-free paradigms for optimal control problems in power systems: comprehensive review and future directions
Ginzburg-Ganz, Elinor
;
Segev, Itay
;
Balabanov, Alexander
;
Segev, Elior
;
Kaully Naveh, Sivan
;
Machlev, Ram
;
Belikov, Juri
;
Katzir, Liran
;
Keren, Sarah
;
Levron, Yoash
Energies
2024
/
art. 5307, 54 p. : ill
https://doi.org/10.3390/en17215307
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
24
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
A reinforcement learning routing protocol for UAV aided public safety networks
Minhas, Hassan Ishtiaq
;
Ahmad, Rizwan
;
Ahmed, Waqas
;
Waheed, Maham
;
Alam, Muhammad Mahtab
;
Gul, Sufi Tabassum
Sensors
2021
/
Art. nr. 4121
https://doi.org/10.3390/s21124121
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artikkel ajakirjas EST
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artikkel ajakirjas ENG
25
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-Philippe
BEC 2018 : 2018 16th Biennial Baltic Electronics Conference (BEC) : proceedings of the 16th Biennial Baltic Electronics Conference, October 8-10, 2018
2019
/
4 p
https://doi.org/10.1109/BEC.2018.8600992
artikkel kogumikus
Kirjeid leitud 29, kuvan
1 - 25
eelmine
1
2
järgmine
võtmesõna
269
1.
cooperative reinforcement learning
2.
deep reinforcement learning
3.
distributed independent reinforcement learning
4.
inverse reinforcement learning
5.
Multi-agent deep reinforcement learning
6.
Multi-agent reinforcement learning
7.
reinforcement learning
8.
Reinforcement Learning (RL)
9.
true online reinforcement learning
10.
carbide reinforcement
11.
cermet reinforcement
12.
concrete reinforcement
13.
fiber reinforcement
14.
glass-fiber reinforcement
15.
hardmetal reinforcement
16.
Helical reinforcement
17.
in situ reinforcement
18.
particulate reinforcement mass fraction
19.
reinforcement
20.
reinforcement mass fraction
21.
twomodal reinforcement
22.
WC reinforcement
23.
active blended learning
24.
active learning
25.
active learning and engagement
26.
active learning methods
27.
adaptive learning
28.
adversarial machine learning
29.
adversarial machine-learning
30.
algorithm controlling the learning process
31.
appetitive associative learning
32.
approach to learning
33.
Artificial Intelligence in learning
34.
Attitude to learning
35.
authoritarian learning
36.
automata learning
37.
automatic machine learning (autoML)
38.
bayesian learning
39.
BIM-enabled learning
40.
BIM-enabled learning environment
41.
biophilic learning environments
42.
blended learning
43.
business school as learning organization
44.
business school learning organization questionnaire (BSLOQ)
45.
business school learning rate dependence on GPD
46.
business school learning rate measurement instrument
47.
challenge-based learning
48.
Challenge-Based Learning (CBL)
49.
city-to-city learning
50.
client learning
51.
Collaborative e-learning
52.
collaborative learning
53.
competence based learning
54.
competence learning
55.
competence-based learning
56.
competency based learning
57.
Component organised learning (COL)
58.
computer assisted language learning
59.
computer based learning
60.
computer-assisted language learning (CALL)
61.
contrastive learning
62.
coping with online teaching and learning
63.
customer learning
64.
data analytics and machine learning
65.
deep learning
66.
deep learning (DL)
67.
deep learning classifier
68.
deep learning method
69.
deep learning methods
70.
deep learning model
71.
deep learning model quantization
72.
deep learning network
73.
Deep reinforcing learning SDN
74.
Deep-learning
75.
deep-learning (DL)
76.
dictionary learning
77.
digital learning module
78.
digital remote learning
79.
Dimensions of Learning Organisation Questionnaire (DLOQ)
80.
distance learning
81.
distant learning
82.
double Q-learning
83.
effective teaching and learning
84.
e-learning
85.
e‐learning
86.
e-Learning course
87.
e-Learning database
88.
e-learning environment
89.
electronic learning
90.
embedded deep learning
91.
Emergency remote learning
92.
ensemble learning
93.
enterprising and entrepreneurial learning
94.
entrepreneurial learning
95.
entrepreneurial teaching and learning
96.
ESG-learning
97.
experiential learning
98.
explainable machine learning
99.
Federated learning
100.
federated learning (FL)
101.
flexible learning
102.
game based learning
103.
game-based learning
104.
Gamified learning
105.
graph machine learning
106.
guided in-service learning
107.
hands-on-learning
108.
history learning
109.
horizontal federated learning
110.
human-centred learning
111.
hybrid learning
112.
Immersive Learning
113.
inclusive learning
114.
incremental learning
115.
inductive learning
116.
inductive learning algorithm
117.
interactive learning objects
118.
interdisciplinary learning
119.
interpretable machine learning
120.
investor learning
121.
iterative learning
122.
Kolb’s experiential learning cycle
123.
language learning
124.
Learner-centered learning environment
125.
learning
126.
learning (artificial intelligence)
127.
learning activities
128.
learning adaptation in autonomous vehicles
129.
learning algorithm
130.
learning analysis
131.
learning analytics
132.
learning and experimentation
133.
learning and health outcomes
134.
learning and memory
135.
learning business school
136.
learning by teaching
137.
learning concept
138.
learning content
139.
learning design
140.
learning difficulties
141.
Learning environment
142.
learning experience
143.
learning factory
144.
Learning from Demonstration
145.
learning infrastructures
146.
Learning Lab
147.
learning management
148.
learning management system
149.
learning management systems
150.
learning methodology
151.
learning metrics
152.
learning models
153.
learning motivation
154.
learning objectives
155.
learning objects
156.
learning organization
157.
learning orientation
158.
learning outcomes
159.
learning process
160.
learning processes
161.
learning rate
162.
learning rate dependence on ownership form
163.
learning rate of organization
164.
learning region
165.
learning situation
166.
learning software agents
167.
learning styles
168.
learning systems
169.
learning technologies
170.
learning theories
171.
learning through the questionnaires
172.
learning university
173.
learning-to-rank
174.
lifelong learning
175.
long-short term learning
176.
machine learning
177.
machine learning (ML)
178.
machine learning algorithms
179.
machine learning applications in power systems
180.
machine learning approach
181.
Machine Learning Explainable model
182.
machine learning for environmental applications
183.
machine learning models
184.
machine learning systems
185.
machine-learning
186.
machine-learning predictive model
187.
mathematics students learning habits
188.
Meaningful learning
189.
measuring learning
190.
mobile learning
191.
model learning
192.
multi-task learning
193.
mutual learning
194.
new learning models
195.
node embedding learning
196.
NREN e-learning
197.
on-device transfer learning
198.
online learning
199.
ontologies for learning systems
200.
ontology learning
201.
Open Learning Resources (OLR)
202.
organisational learning
203.
organizational learning
204.
organizational learning measurement instruments
205.
organizational learning rate dependence on management
206.
organizational learning rate measurement
207.
outcome oriented learning
208.
Parkinson’s disease machine learning
209.
peer‐to‐peer learning group
210.
personalised learning
211.
personalized learning
212.
policy learning
213.
problem-based learning
214.
Problem-based learning (PBL)
215.
project learning
216.
project-based learning
217.
Q-learning
218.
Q-learning algorithm
219.
query learning
220.
regional learning
221.
relative learning performance
222.
Remote learning
223.
research-oriented learning
224.
reusable learning objects
225.
robust machine learning
226.
scholarship of teaching and learning
227.
self learning software
228.
self learning system
229.
self-learning
230.
self-regulated learning
231.
semi-supervised learning
232.
sequence of learning activities
233.
sequence to sequence learning
234.
sequential learning
235.
SIS problem, learning with errors
236.
small data machine learning
237.
smart learning
238.
smart learning environment
239.
social learning
240.
socio-emotional learning
241.
stochastic learning theory
242.
student centred learning
243.
supervised contrastive learning
244.
supervised learning
245.
supervised learning data
246.
supervised machine learning
247.
synchronous hybrid learning
248.
zero-shot learning
249.
task based learning
250.
team learning
251.
Technological learning
252.
technology-enhanced learning
253.
the dimensions of the learning organisation
254.
the dimensions of the learning organization questionnaire (DLOQ)
255.
tools for interactive learning and teaching
256.
trans-disciplinary social-learning
257.
transfer learning
258.
ubiquitous learning
259.
unsupervised learning
260.
unsupervised machine learning
261.
urban learning center
262.
value of learning
263.
web and computerbased learning
264.
Web and computer-based learning
265.
virtual collaborative learning environment (VCLE)
266.
virtual learning environment
267.
virtual learning factory
268.
work-based learning
269.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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