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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 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
3
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
4
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
5
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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Article at WOS
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
6
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
7
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
8
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
9
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
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
10
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
Journal metrics at Scopus
Article at Scopus
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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
11
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
12
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
13
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
14
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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
15
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
16
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
17
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
18
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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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
19
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
20
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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
21
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
22
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
23
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
24
artikkel kogumikus
Strengthening active learning with a reinforcement approach in engineering education
Vodovozov, Valery
;
Raud, Zoja
;
Petlenkov, Eduard
2024 IEEE 65th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
2024
/
5 p
artikkel kogumikus
25
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Using reinforcement learning to optimize the acceptance threshold of a credit scoring model
Herasymovych, Mykola
;
Märka, Karl
;
Lukason, Oliver
Applied Soft Computing Journal
2019
/
Art. 105697
https://doi.org/10.1016/j.asoc.2019.105697
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Kirjeid leitud 25, kuvan
1 - 25
võtmesõna
238
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.
adversarial machine learning
26.
adversarial machine-learning
27.
algorithm controlling the learning process
28.
appetitive associative learning
29.
approach to learning
30.
Attitude to learning
31.
authoritarian learning
32.
automata learning
33.
automatic machine learning (autoML)
34.
BIM-enabled learning
35.
BIM-enabled learning environment
36.
blended learning
37.
business school as learning organization
38.
business school learning organization questionnaire (BSLOQ)
39.
business school learning rate dependence on GPD
40.
business school learning rate measurement instrument
41.
challenge-based learning
42.
client learning
43.
Collaborative e-learning
44.
collaborative learning
45.
competence based learning
46.
competence learning
47.
competence-based learning
48.
competency based learning
49.
Component organised learning (COL)
50.
computer assisted language learning
51.
computer based learning
52.
computer-assisted language learning (CALL)
53.
coping with online teaching and learning
54.
customer learning
55.
deep learning
56.
deep learning (DL)
57.
deep learning classifier
58.
deep learning method
59.
deep learning model
60.
deep learning model quantization
61.
deep learning network
62.
Deep reinforcing learning SDN
63.
Deep-learning
64.
deep-learning (DL)
65.
dictionary learning
66.
digital learning module
67.
digital remote learning
68.
Dimensions of Learning Organisation Questionnaire (DLOQ)
69.
distance learning
70.
distant learning
71.
double Q-learning
72.
effective teaching and learning
73.
e-learning
74.
e‐learning
75.
e-Learning course
76.
e-Learning database
77.
e-learning environment
78.
electronic learning
79.
embedded deep learning
80.
Emergency remote learning
81.
ensemble learning
82.
enterprising and entrepreneurial learning
83.
entrepreneurial learning
84.
entrepreneurial teaching and learning
85.
ESG-learning
86.
experiential learning
87.
Federated learning
88.
federated learning (FL)
89.
flexible learning
90.
game based learning
91.
game-based learning
92.
graph machine learning
93.
guided in-service learning
94.
hands-on-learning
95.
history learning
96.
horizontal federated learning
97.
hybrid learning
98.
incremental learning
99.
inductive learning
100.
inductive learning algorithm
101.
interactive learning objects
102.
interdisciplinary learning
103.
interpretable machine learning
104.
investor learning
105.
iterative learning
106.
Kolb’s experiential learning cycle
107.
language learning
108.
Learner-centered learning environment
109.
learning
110.
learning (artificial intelligence)
111.
learning activities
112.
learning adaptation in autonomous vehicles
113.
learning algorithm
114.
learning analysis
115.
learning analytics
116.
learning and experimentation
117.
learning and health outcomes
118.
learning and memory
119.
learning business school
120.
learning by teaching
121.
learning concept
122.
learning design
123.
learning difficulties
124.
Learning environment
125.
learning experience
126.
learning infrastructures
127.
Learning Lab
128.
learning management
129.
learning management system
130.
learning management systems
131.
learning methodology
132.
learning metrics
133.
learning models
134.
learning motivation
135.
learning objectives
136.
learning objects
137.
learning organization
138.
learning orientation
139.
learning outcomes
140.
learning process
141.
learning processes
142.
learning rate
143.
learning rate dependence on ownership form
144.
learning rate of organization
145.
learning region
146.
learning situation
147.
learning software agents
148.
learning styles
149.
learning systems
150.
learning technologies
151.
learning theories
152.
learning through the questionnaires
153.
learning university
154.
learning-to-rank
155.
lifelong learning
156.
machine learning
157.
machine learning (ML)
158.
machine learning algorithms
159.
machine learning approach
160.
Machine Learning Explainable model
161.
machine learning for environmental applications
162.
machine learning models
163.
machine learning systems
164.
machine-learning
165.
machine-learning predictive model
166.
mathematics students learning habits
167.
Meaningful learning
168.
measuring learning
169.
mobile learning
170.
model learning
171.
mutual learning
172.
new learning models
173.
node embedding learning
174.
NREN e-learning
175.
on-device transfer learning
176.
online learning
177.
ontologies for learning systems
178.
ontology learning
179.
Open Learning Resources (OLR)
180.
organisational learning
181.
organizational learning
182.
organizational learning measurement instruments
183.
organizational learning rate dependence on management
184.
organizational learning rate measurement
185.
outcome oriented learning
186.
Parkinson’s disease machine learning
187.
peer‐to‐peer learning group
188.
personalised learning
189.
policy learning
190.
problem-based learning
191.
Problem-based learning (PBL)
192.
project learning
193.
project-based learning
194.
Q-learning
195.
Q-learning algorithm
196.
query learning
197.
regional learning
198.
relative learning performance
199.
Remote learning
200.
research-oriented learning
201.
reusable learning objects
202.
robust machine learning
203.
scholarship of teaching and learning
204.
self learning software
205.
self learning system
206.
self-learning
207.
self-regulated learning
208.
semi-supervised learning
209.
small data machine learning
210.
smart learning
211.
smart learning environment
212.
social learning
213.
stochastic learning theory
214.
supervised learning
215.
supervised learning data
216.
supervised machine learning
217.
zero-shot learning
218.
task based learning
219.
team learning
220.
Technological learning
221.
technology-enhanced learning
222.
the dimensions of the learning organisation
223.
the dimensions of the learning organization questionnaire (DLOQ)
224.
tools for interactive learning and teaching
225.
trans-disciplinary social-learning
226.
transfer learning
227.
ubiquitous learning
228.
unsupervised learning
229.
unsupervised machine learning
230.
urban learning center
231.
value of learning
232.
web and computerbased learning
233.
Web and computer-based learning
234.
virtual collaborative learning environment (VCLE)
235.
virtual learning environment
236.
virtual learning factory
237.
work-based learning
238.
workplace learning
autor
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1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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