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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
Conference Proceedings at WOS
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
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
artikkel ajakirjas
9
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
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
10
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
11
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
12
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
13
artikkel ajakirjas
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
artikkel ajakirjas
14
artikkel ajakirjas
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
artikkel ajakirjas
15
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
16
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
17
artikkel ajakirjas
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
http://dx.doi.org/10.3390/s17040780
artikkel ajakirjas
18
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
19
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
20
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
21
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
22
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
Journal metrics at Scopus
Article at Scopus
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Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Kirjeid leitud 22, kuvan
1 - 22
võtmesõna
218
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.
true online reinforcement learning
8.
carbide reinforcement
9.
cermet reinforcement
10.
concrete reinforcement
11.
fiber reinforcement
12.
glass-fiber reinforcement
13.
hardmetal reinforcement
14.
Helical reinforcement
15.
in situ reinforcement
16.
particulate reinforcement mass fraction
17.
reinforcement
18.
reinforcement mass fraction
19.
twomodal reinforcement
20.
WC reinforcement
21.
active learning
22.
active learning methods
23.
adversarial machine learning
24.
adversarial machine-learning
25.
algorithm controlling the learning process
26.
appetitive associative learning
27.
approach to learning
28.
Attitude to learning
29.
authoritarian learning
30.
automata learning
31.
automatic machine learning (autoML)
32.
BIM-enabled learning
33.
BIM-enabled learning environment
34.
blended learning
35.
business school as learning organization
36.
business school learning organization questionnaire (BSLOQ)
37.
business school learning rate dependence on GPD
38.
business school learning rate measurement instrument
39.
client learning
40.
Collaborative e-learning
41.
collaborative learning
42.
competence based learning
43.
competence learning
44.
competence-based learning
45.
competency based learning
46.
Component organised learning (COL)
47.
computer assisted language learning
48.
computer based learning
49.
computer-assisted language learning (CALL)
50.
coping with online teaching and learning
51.
customer learning
52.
deep learning
53.
deep learning (DL)
54.
deep learning classifier
55.
deep learning model
56.
deep learning network
57.
Deep reinforcing learning SDN
58.
Deep-learning
59.
deep-learning (DL)
60.
dictionary learning
61.
digital learning module
62.
Dimensions of Learning Organisation Questionnaire (DLOQ)
63.
distance learning
64.
distant learning
65.
double Q-learning
66.
effective teaching and learning
67.
e-learning
68.
e‐learning
69.
e-Learning course
70.
e-Learning database
71.
e-learning environment
72.
electronic learning
73.
embedded deep learning
74.
Emergency remote learning
75.
ensemble learning
76.
enterprising and entrepreneurial learning
77.
entrepreneurial learning
78.
entrepreneurial teaching and learning
79.
experiential learning
80.
Federated learning
81.
federated learning (FL)
82.
flexible learning
83.
game based learning
84.
game-based learning
85.
guided in-service learning
86.
hands-on-learning
87.
history learning
88.
hybrid learning
89.
incremental learning
90.
inductive learning
91.
inductive learning algorithm
92.
interactive learning objects
93.
interdisciplinary learning
94.
investor learning
95.
iterative learning
96.
Learner-centered learning environment
97.
learning
98.
learning (artificial intelligence)
99.
learning activities
100.
learning adaptation in autonomous vehicles
101.
learning algorithm
102.
learning analysis
103.
learning analytics
104.
learning and experimentation
105.
learning and health outcomes
106.
learning and memory
107.
learning business school
108.
learning by teaching
109.
learning concept
110.
learning difficulties
111.
Learning environment
112.
learning experience
113.
learning infrastructures
114.
Learning Lab
115.
learning management
116.
learning management system
117.
learning management systems
118.
learning methodology
119.
learning metrics
120.
learning models
121.
learning motivation
122.
learning objectives
123.
learning objects
124.
learning organization
125.
learning orientation
126.
learning outcomes
127.
learning process
128.
learning processes
129.
learning rate
130.
learning rate dependence on ownership form
131.
learning rate of organization
132.
learning region
133.
learning situation
134.
learning software agents
135.
learning styles
136.
learning systems
137.
learning technologies
138.
learning theories
139.
learning through the questionnaires
140.
learning university
141.
learning-to-rank
142.
lifelong learning
143.
machine learning
144.
machine learning (ML)
145.
machine learning algorithms
146.
machine learning approach
147.
Machine Learning Explainable model
148.
machine learning for environmental applications
149.
machine-learning predictive model
150.
mathematics students learning habits
151.
Meaningful learning
152.
measuring learning
153.
mobile learning
154.
model learning
155.
mutual learning
156.
new learning models
157.
node embedding learning
158.
NREN e-learning
159.
on-device transfer learning
160.
online learning
161.
ontologies for learning systems
162.
ontology learning
163.
organisational learning
164.
organizational learning
165.
organizational learning measurement instruments
166.
organizational learning rate dependence on management
167.
organizational learning rate measurement
168.
outcome oriented learning
169.
Parkinson’s disease machine learning
170.
peer‐to‐peer learning group
171.
personalised learning
172.
policy learning
173.
problem-based learning
174.
Problem-based learning (PBL)
175.
project learning
176.
project-based learning
177.
Q-learning
178.
Q-learning algorithm
179.
query learning
180.
regional learning
181.
relative learning performance
182.
Remote learning
183.
research-oriented learning
184.
reusable learning objects
185.
robust machine learning
186.
scholarship of teaching and learning
187.
self learning software
188.
self learning system
189.
self-learning
190.
self-regulated learning
191.
semi-supervised learning
192.
small data machine learning
193.
smart learning
194.
smart learning environment
195.
social learning
196.
stochastic learning theory
197.
supervised learning
198.
supervised learning data
199.
supervised machine learning
200.
task based learning
201.
team learning
202.
Technological learning
203.
the dimensions of the learning organisation
204.
the dimensions of the learning organization questionnaire (DLOQ)
205.
tools for interactive learning and teaching
206.
trans-disciplinary social-learning
207.
transfer learning
208.
ubiquitous learning
209.
unsupervised learning
210.
unsupervised machine learning
211.
urban learning center
212.
value of learning
213.
web and computerbased learning
214.
Web and computer-based learning
215.
virtual learning environment
216.
virtual learning factory
217.
work-based learning
218.
workplace learning
autor
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ELIXIR Machine Learning Focus Group
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1
1.
UNDP Urban Learning Center
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