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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
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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
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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
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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
259
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.
Federated learning
96.
federated learning (FL)
97.
flexible learning
98.
game based learning
99.
game-based learning
100.
graph machine learning
101.
guided in-service learning
102.
hands-on-learning
103.
history learning
104.
horizontal federated learning
105.
human-centred learning
106.
hybrid learning
107.
Immersive Learning
108.
incremental learning
109.
inductive learning
110.
inductive learning algorithm
111.
interactive learning objects
112.
interdisciplinary learning
113.
interpretable machine learning
114.
investor learning
115.
iterative learning
116.
Kolb’s experiential learning cycle
117.
language learning
118.
Learner-centered learning environment
119.
learning
120.
learning (artificial intelligence)
121.
learning activities
122.
learning adaptation in autonomous vehicles
123.
learning algorithm
124.
learning analysis
125.
learning analytics
126.
learning and experimentation
127.
learning and health outcomes
128.
learning and memory
129.
learning business school
130.
learning by teaching
131.
learning concept
132.
learning content
133.
learning design
134.
learning difficulties
135.
Learning environment
136.
learning experience
137.
learning factory
138.
Learning from Demonstration
139.
learning infrastructures
140.
Learning Lab
141.
learning management
142.
learning management system
143.
learning management systems
144.
learning methodology
145.
learning metrics
146.
learning models
147.
learning motivation
148.
learning objectives
149.
learning objects
150.
learning organization
151.
learning orientation
152.
learning outcomes
153.
learning process
154.
learning processes
155.
learning rate
156.
learning rate dependence on ownership form
157.
learning rate of organization
158.
learning region
159.
learning situation
160.
learning software agents
161.
learning styles
162.
learning systems
163.
learning technologies
164.
learning theories
165.
learning through the questionnaires
166.
learning university
167.
learning-to-rank
168.
lifelong learning
169.
long-short term learning
170.
machine learning
171.
machine learning (ML)
172.
machine learning algorithms
173.
machine learning approach
174.
Machine Learning Explainable model
175.
machine learning for environmental applications
176.
machine learning models
177.
machine learning systems
178.
machine-learning
179.
machine-learning predictive model
180.
mathematics students learning habits
181.
Meaningful learning
182.
measuring learning
183.
mobile learning
184.
model learning
185.
multi-task learning
186.
mutual learning
187.
new learning models
188.
node embedding learning
189.
NREN e-learning
190.
on-device transfer learning
191.
online learning
192.
ontologies for learning systems
193.
ontology learning
194.
Open Learning Resources (OLR)
195.
organisational learning
196.
organizational learning
197.
organizational learning measurement instruments
198.
organizational learning rate dependence on management
199.
organizational learning rate measurement
200.
outcome oriented learning
201.
Parkinson’s disease machine learning
202.
peer‐to‐peer learning group
203.
personalised learning
204.
policy learning
205.
problem-based learning
206.
Problem-based learning (PBL)
207.
project learning
208.
project-based learning
209.
Q-learning
210.
Q-learning algorithm
211.
query learning
212.
regional learning
213.
relative learning performance
214.
Remote learning
215.
research-oriented learning
216.
reusable learning objects
217.
robust machine learning
218.
scholarship of teaching and learning
219.
self learning software
220.
self learning system
221.
self-learning
222.
self-regulated learning
223.
semi-supervised learning
224.
sequence of learning activities
225.
SIS problem, learning with errors
226.
small data machine learning
227.
smart learning
228.
smart learning environment
229.
social learning
230.
socio-emotional learning
231.
stochastic learning theory
232.
student centred learning
233.
supervised contrastive learning
234.
supervised learning
235.
supervised learning data
236.
supervised machine learning
237.
synchronous hybrid learning
238.
zero-shot learning
239.
task based learning
240.
team learning
241.
Technological learning
242.
technology-enhanced learning
243.
the dimensions of the learning organisation
244.
the dimensions of the learning organization questionnaire (DLOQ)
245.
tools for interactive learning and teaching
246.
trans-disciplinary social-learning
247.
transfer learning
248.
ubiquitous learning
249.
unsupervised learning
250.
unsupervised machine learning
251.
urban learning center
252.
value of learning
253.
web and computerbased learning
254.
Web and computer-based learning
255.
virtual collaborative learning environment (VCLE)
256.
virtual learning environment
257.
virtual learning factory
258.
work-based learning
259.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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