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