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