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