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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
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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
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
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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
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Article at WOS
artikkel ajakirjas EST
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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
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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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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
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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
243
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.
bayesian learning
35.
BIM-enabled learning
36.
BIM-enabled learning environment
37.
blended learning
38.
business school as learning organization
39.
business school learning organization questionnaire (BSLOQ)
40.
business school learning rate dependence on GPD
41.
business school learning rate measurement instrument
42.
challenge-based learning
43.
client learning
44.
Collaborative e-learning
45.
collaborative learning
46.
competence based learning
47.
competence learning
48.
competence-based learning
49.
competency based learning
50.
Component organised learning (COL)
51.
computer assisted language learning
52.
computer based learning
53.
computer-assisted language learning (CALL)
54.
coping with online teaching and learning
55.
customer learning
56.
deep learning
57.
deep learning (DL)
58.
deep learning classifier
59.
deep learning method
60.
deep learning methods
61.
deep learning model
62.
deep learning model quantization
63.
deep learning network
64.
Deep reinforcing learning SDN
65.
Deep-learning
66.
deep-learning (DL)
67.
dictionary learning
68.
digital learning module
69.
digital remote learning
70.
Dimensions of Learning Organisation Questionnaire (DLOQ)
71.
distance learning
72.
distant learning
73.
double Q-learning
74.
effective teaching and learning
75.
e-learning
76.
e‐learning
77.
e-Learning course
78.
e-Learning database
79.
e-learning environment
80.
electronic learning
81.
embedded deep learning
82.
Emergency remote learning
83.
ensemble learning
84.
enterprising and entrepreneurial learning
85.
entrepreneurial learning
86.
entrepreneurial teaching and learning
87.
ESG-learning
88.
experiential learning
89.
Federated learning
90.
federated learning (FL)
91.
flexible learning
92.
game based learning
93.
game-based learning
94.
graph machine learning
95.
guided in-service learning
96.
hands-on-learning
97.
history learning
98.
horizontal federated learning
99.
hybrid learning
100.
incremental learning
101.
inductive learning
102.
inductive learning algorithm
103.
interactive learning objects
104.
interdisciplinary learning
105.
interpretable machine learning
106.
investor learning
107.
iterative learning
108.
Kolb’s experiential learning cycle
109.
language learning
110.
Learner-centered learning environment
111.
learning
112.
learning (artificial intelligence)
113.
learning activities
114.
learning adaptation in autonomous vehicles
115.
learning algorithm
116.
learning analysis
117.
learning analytics
118.
learning and experimentation
119.
learning and health outcomes
120.
learning and memory
121.
learning business school
122.
learning by teaching
123.
learning concept
124.
learning design
125.
learning difficulties
126.
Learning environment
127.
learning experience
128.
Learning from Demonstration
129.
learning infrastructures
130.
Learning Lab
131.
learning management
132.
learning management system
133.
learning management systems
134.
learning methodology
135.
learning metrics
136.
learning models
137.
learning motivation
138.
learning objectives
139.
learning objects
140.
learning organization
141.
learning orientation
142.
learning outcomes
143.
learning process
144.
learning processes
145.
learning rate
146.
learning rate dependence on ownership form
147.
learning rate of organization
148.
learning region
149.
learning situation
150.
learning software agents
151.
learning styles
152.
learning systems
153.
learning technologies
154.
learning theories
155.
learning through the questionnaires
156.
learning university
157.
learning-to-rank
158.
lifelong learning
159.
machine learning
160.
machine learning (ML)
161.
machine learning algorithms
162.
machine learning approach
163.
Machine Learning Explainable model
164.
machine learning for environmental applications
165.
machine learning models
166.
machine learning systems
167.
machine-learning
168.
machine-learning predictive model
169.
mathematics students learning habits
170.
Meaningful learning
171.
measuring learning
172.
mobile learning
173.
model learning
174.
multi-task learning
175.
mutual learning
176.
new learning models
177.
node embedding learning
178.
NREN e-learning
179.
on-device transfer learning
180.
online learning
181.
ontologies for learning systems
182.
ontology learning
183.
Open Learning Resources (OLR)
184.
organisational learning
185.
organizational learning
186.
organizational learning measurement instruments
187.
organizational learning rate dependence on management
188.
organizational learning rate measurement
189.
outcome oriented learning
190.
Parkinson’s disease machine learning
191.
peer‐to‐peer learning group
192.
personalised learning
193.
policy learning
194.
problem-based learning
195.
Problem-based learning (PBL)
196.
project learning
197.
project-based learning
198.
Q-learning
199.
Q-learning algorithm
200.
query learning
201.
regional learning
202.
relative learning performance
203.
Remote learning
204.
research-oriented learning
205.
reusable learning objects
206.
robust machine learning
207.
scholarship of teaching and learning
208.
self learning software
209.
self learning system
210.
self-learning
211.
self-regulated learning
212.
semi-supervised learning
213.
small data machine learning
214.
smart learning
215.
smart learning environment
216.
social learning
217.
stochastic learning theory
218.
student centred learning
219.
supervised learning
220.
supervised learning data
221.
supervised machine learning
222.
zero-shot learning
223.
task based learning
224.
team learning
225.
Technological learning
226.
technology-enhanced learning
227.
the dimensions of the learning organisation
228.
the dimensions of the learning organization questionnaire (DLOQ)
229.
tools for interactive learning and teaching
230.
trans-disciplinary social-learning
231.
transfer learning
232.
ubiquitous learning
233.
unsupervised learning
234.
unsupervised machine learning
235.
urban learning center
236.
value of learning
237.
web and computerbased learning
238.
Web and computer-based learning
239.
virtual collaborative learning environment (VCLE)
240.
virtual learning environment
241.
virtual learning factory
242.
work-based learning
243.
workplace learning
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ELIXIR Machine Learning Focus Group
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1
1.
UNDP Urban Learning Center
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OR
NOT
tema kohta
AND
OR
NOT
võtmesõna
AND
OR
NOT