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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
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artikkel ajakirjas ENG
3
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
4
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
5
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
6
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
7
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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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
8
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
9
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
10
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
11
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
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
12
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
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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
13
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
14
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
15
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
16
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
17
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
18
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
19
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
20
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
Journal metrics at Scopus
Article at Scopus
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artikkel ajakirjas EST
/
artikkel ajakirjas ENG
21
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
22
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
23
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
/
artikkel ajakirjas ENG
24
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
25
artikkel kogumikus
Simulation study of processes in electric vehicles under braking control based on reinforcement learning
Vodovozov, Valery
;
Raud, Zoja
;
Petlenkov, Eduard
2023 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
Kirjeid leitud 27, kuvan
1 - 25
eelmine
1
2
järgmine
võtmesõna
267
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 and engagement
25.
active learning methods
26.
adaptive learning
27.
adversarial machine learning
28.
adversarial machine-learning
29.
algorithm controlling the learning process
30.
appetitive associative learning
31.
approach to learning
32.
Artificial Intelligence in learning
33.
Attitude to learning
34.
authoritarian learning
35.
automata learning
36.
automatic machine learning (autoML)
37.
bayesian learning
38.
BIM-enabled learning
39.
BIM-enabled learning environment
40.
biophilic learning environments
41.
blended learning
42.
business school as learning organization
43.
business school learning organization questionnaire (BSLOQ)
44.
business school learning rate dependence on GPD
45.
business school learning rate measurement instrument
46.
challenge-based learning
47.
Challenge-Based Learning (CBL)
48.
city-to-city learning
49.
client learning
50.
Collaborative e-learning
51.
collaborative learning
52.
competence based learning
53.
competence learning
54.
competence-based learning
55.
competency based learning
56.
Component organised learning (COL)
57.
computer assisted language learning
58.
computer based learning
59.
computer-assisted language learning (CALL)
60.
contrastive learning
61.
coping with online teaching and learning
62.
customer learning
63.
data analytics and machine learning
64.
deep learning
65.
deep learning (DL)
66.
deep learning classifier
67.
deep learning method
68.
deep learning methods
69.
deep learning model
70.
deep learning model quantization
71.
deep learning network
72.
Deep reinforcing learning SDN
73.
Deep-learning
74.
deep-learning (DL)
75.
dictionary learning
76.
digital learning module
77.
digital remote learning
78.
Dimensions of Learning Organisation Questionnaire (DLOQ)
79.
distance learning
80.
distant learning
81.
double Q-learning
82.
effective teaching and learning
83.
e-learning
84.
e‐learning
85.
e-Learning course
86.
e-Learning database
87.
e-learning environment
88.
electronic learning
89.
embedded deep learning
90.
Emergency remote learning
91.
ensemble learning
92.
enterprising and entrepreneurial learning
93.
entrepreneurial learning
94.
entrepreneurial teaching and learning
95.
ESG-learning
96.
experiential learning
97.
explainable machine learning
98.
Federated learning
99.
federated learning (FL)
100.
flexible learning
101.
game based learning
102.
game-based learning
103.
Gamified learning
104.
graph machine learning
105.
guided in-service learning
106.
hands-on-learning
107.
history learning
108.
horizontal federated learning
109.
human-centred learning
110.
hybrid learning
111.
Immersive Learning
112.
inclusive learning
113.
incremental learning
114.
inductive learning
115.
inductive learning algorithm
116.
interactive learning objects
117.
interdisciplinary learning
118.
interpretable machine learning
119.
investor learning
120.
iterative learning
121.
Kolb’s experiential learning cycle
122.
language learning
123.
Learner-centered learning environment
124.
learning
125.
learning (artificial intelligence)
126.
learning activities
127.
learning adaptation in autonomous vehicles
128.
learning algorithm
129.
learning analysis
130.
learning analytics
131.
learning and experimentation
132.
learning and health outcomes
133.
learning and memory
134.
learning business school
135.
learning by teaching
136.
learning concept
137.
learning content
138.
learning design
139.
learning difficulties
140.
Learning environment
141.
learning experience
142.
learning factory
143.
Learning from Demonstration
144.
learning infrastructures
145.
Learning Lab
146.
learning management
147.
learning management system
148.
learning management systems
149.
learning methodology
150.
learning metrics
151.
learning models
152.
learning motivation
153.
learning objectives
154.
learning objects
155.
learning organization
156.
learning orientation
157.
learning outcomes
158.
learning process
159.
learning processes
160.
learning rate
161.
learning rate dependence on ownership form
162.
learning rate of organization
163.
learning region
164.
learning situation
165.
learning software agents
166.
learning styles
167.
learning systems
168.
learning technologies
169.
learning theories
170.
learning through the questionnaires
171.
learning university
172.
learning-to-rank
173.
lifelong learning
174.
long-short term learning
175.
machine learning
176.
machine learning (ML)
177.
machine learning algorithms
178.
machine learning approach
179.
Machine Learning Explainable model
180.
machine learning for environmental applications
181.
machine learning models
182.
machine learning systems
183.
machine-learning
184.
machine-learning predictive model
185.
mathematics students learning habits
186.
Meaningful learning
187.
measuring learning
188.
mobile learning
189.
model learning
190.
multi-task learning
191.
mutual learning
192.
new learning models
193.
node embedding learning
194.
NREN e-learning
195.
on-device transfer learning
196.
online learning
197.
ontologies for learning systems
198.
ontology learning
199.
Open Learning Resources (OLR)
200.
organisational learning
201.
organizational learning
202.
organizational learning measurement instruments
203.
organizational learning rate dependence on management
204.
organizational learning rate measurement
205.
outcome oriented learning
206.
Parkinson’s disease machine learning
207.
peer‐to‐peer learning group
208.
personalised learning
209.
personalized learning
210.
policy learning
211.
problem-based learning
212.
Problem-based learning (PBL)
213.
project learning
214.
project-based learning
215.
Q-learning
216.
Q-learning algorithm
217.
query learning
218.
regional learning
219.
relative learning performance
220.
Remote learning
221.
research-oriented learning
222.
reusable learning objects
223.
robust machine learning
224.
scholarship of teaching and learning
225.
self learning software
226.
self learning system
227.
self-learning
228.
self-regulated learning
229.
semi-supervised learning
230.
sequence of learning activities
231.
sequence to sequence learning
232.
sequential learning
233.
SIS problem, learning with errors
234.
small data machine learning
235.
smart learning
236.
smart learning environment
237.
social learning
238.
socio-emotional learning
239.
stochastic learning theory
240.
student centred learning
241.
supervised contrastive learning
242.
supervised learning
243.
supervised learning data
244.
supervised machine learning
245.
synchronous hybrid learning
246.
zero-shot learning
247.
task based learning
248.
team learning
249.
Technological learning
250.
technology-enhanced learning
251.
the dimensions of the learning organisation
252.
the dimensions of the learning organization questionnaire (DLOQ)
253.
tools for interactive learning and teaching
254.
trans-disciplinary social-learning
255.
transfer learning
256.
ubiquitous learning
257.
unsupervised learning
258.
unsupervised machine learning
259.
urban learning center
260.
value of learning
261.
web and computerbased learning
262.
Web and computer-based learning
263.
virtual collaborative learning environment (VCLE)
264.
virtual learning environment
265.
virtual learning factory
266.
work-based learning
267.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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