Toggle navigation
Publikatsioonid
Profiilid
Uurimisrühmad
Registrid
Abi ja info
Switch to English
Intranet
Publikatsioonid
Profiilid
Uurimisrühmad
Registrid
Abi ja info
English
Intranet
Andmebaasid
Publikatsioonid
Otsing
Valitud kirjed
0
reinforcement learning (võtmesõna)
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Kõikidelt väljadelt
Allika otsing
Autori otsing
Märksõna otsing
Pealkirja otsing
algab
sisaldab
täpne vaste
—
Lisa tingimus
Liitotsing
filter
Tühista
×
teaviku laadid
raamat
..
artikkel ajakirjas
..
artikkel ajalehes
..
artikkel kogumikus
..
dissertatsioon
..
Open Access
..
Teaduspublikatsioon
..
aasta
ilmumisaasta
Toon andmeid..
autor
Toon andmeid..
TTÜ struktuuriüksus
Toon andmeid..
märksõna
Toon andmeid..
seeria-sari
Toon andmeid..
tema kohta
Toon andmeid..
võtmesõna
Toon andmeid..
Tühista
Kirjeid leitud
25
Vaata veel..
(3/243)
Ekspordi
ekspordi kõik päringu tulemused
(25)
Salvesta TXT fail
Salvesta PDF fail
prindi
Märgitud kirjetega toimetamiseks ava
valitud kirjed
kuva
Bibliokirje
Lühikirje
reasta
autor kasvavalt
autor kahanevalt
ilmumisaasta kasvavalt
ilmumisaasta kahanevalt
pealkiri kasvavalt
pealkiri kahanevalt
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 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
Journal metrics at WOS
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
Journal metrics at WOS
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
Journal metrics at WOS
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
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
Journal metrics at WOS
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
Journal metrics at WOS
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
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
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
artikkel ajakirjas EST
/
artikkel ajakirjas ENG
Kirjeid leitud 25, kuvan
1 - 25
võtmesõna
241
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 model
61.
deep learning model quantization
62.
deep learning network
63.
Deep reinforcing learning SDN
64.
Deep-learning
65.
deep-learning (DL)
66.
dictionary learning
67.
digital learning module
68.
digital remote learning
69.
Dimensions of Learning Organisation Questionnaire (DLOQ)
70.
distance learning
71.
distant learning
72.
double Q-learning
73.
effective teaching and learning
74.
e-learning
75.
e‐learning
76.
e-Learning course
77.
e-Learning database
78.
e-learning environment
79.
electronic learning
80.
embedded deep learning
81.
Emergency remote learning
82.
ensemble learning
83.
enterprising and entrepreneurial learning
84.
entrepreneurial learning
85.
entrepreneurial teaching and learning
86.
ESG-learning
87.
experiential learning
88.
Federated learning
89.
federated learning (FL)
90.
flexible learning
91.
game based learning
92.
game-based learning
93.
graph machine learning
94.
guided in-service learning
95.
hands-on-learning
96.
history learning
97.
horizontal federated learning
98.
hybrid learning
99.
incremental learning
100.
inductive learning
101.
inductive learning algorithm
102.
interactive learning objects
103.
interdisciplinary learning
104.
interpretable machine learning
105.
investor learning
106.
iterative learning
107.
Kolb’s experiential learning cycle
108.
language learning
109.
Learner-centered learning environment
110.
learning
111.
learning (artificial intelligence)
112.
learning activities
113.
learning adaptation in autonomous vehicles
114.
learning algorithm
115.
learning analysis
116.
learning analytics
117.
learning and experimentation
118.
learning and health outcomes
119.
learning and memory
120.
learning business school
121.
learning by teaching
122.
learning concept
123.
learning design
124.
learning difficulties
125.
Learning environment
126.
learning experience
127.
learning infrastructures
128.
Learning Lab
129.
learning management
130.
learning management system
131.
learning management systems
132.
learning methodology
133.
learning metrics
134.
learning models
135.
learning motivation
136.
learning objectives
137.
learning objects
138.
learning organization
139.
learning orientation
140.
learning outcomes
141.
learning process
142.
learning processes
143.
learning rate
144.
learning rate dependence on ownership form
145.
learning rate of organization
146.
learning region
147.
learning situation
148.
learning software agents
149.
learning styles
150.
learning systems
151.
learning technologies
152.
learning theories
153.
learning through the questionnaires
154.
learning university
155.
learning-to-rank
156.
lifelong learning
157.
machine learning
158.
machine learning (ML)
159.
machine learning algorithms
160.
machine learning approach
161.
Machine Learning Explainable model
162.
machine learning for environmental applications
163.
machine learning models
164.
machine learning systems
165.
machine-learning
166.
machine-learning predictive model
167.
mathematics students learning habits
168.
Meaningful learning
169.
measuring learning
170.
mobile learning
171.
model learning
172.
multi-task learning
173.
mutual learning
174.
new learning models
175.
node embedding learning
176.
NREN e-learning
177.
on-device transfer learning
178.
online learning
179.
ontologies for learning systems
180.
ontology learning
181.
Open Learning Resources (OLR)
182.
organisational learning
183.
organizational learning
184.
organizational learning measurement instruments
185.
organizational learning rate dependence on management
186.
organizational learning rate measurement
187.
outcome oriented learning
188.
Parkinson’s disease machine learning
189.
peer‐to‐peer learning group
190.
personalised learning
191.
policy learning
192.
problem-based learning
193.
Problem-based learning (PBL)
194.
project learning
195.
project-based learning
196.
Q-learning
197.
Q-learning algorithm
198.
query learning
199.
regional learning
200.
relative learning performance
201.
Remote learning
202.
research-oriented learning
203.
reusable learning objects
204.
robust machine learning
205.
scholarship of teaching and learning
206.
self learning software
207.
self learning system
208.
self-learning
209.
self-regulated learning
210.
semi-supervised learning
211.
small data machine learning
212.
smart learning
213.
smart learning environment
214.
social learning
215.
stochastic learning theory
216.
student centred learning
217.
supervised learning
218.
supervised learning data
219.
supervised machine learning
220.
zero-shot learning
221.
task based learning
222.
team learning
223.
Technological learning
224.
technology-enhanced learning
225.
the dimensions of the learning organisation
226.
the dimensions of the learning organization questionnaire (DLOQ)
227.
tools for interactive learning and teaching
228.
trans-disciplinary social-learning
229.
transfer learning
230.
ubiquitous learning
231.
unsupervised learning
232.
unsupervised machine learning
233.
urban learning center
234.
value of learning
235.
web and computerbased learning
236.
Web and computer-based learning
237.
virtual collaborative learning environment (VCLE)
238.
virtual learning environment
239.
virtual learning factory
240.
work-based learning
241.
workplace learning
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
×
vaste
algab
lõpeb
sisaldab
reasta
Relevantsuse alusel
kasvavalt
kahanevalt
ilmumisaasta
autor
TTÜ struktuuriüksus
märksõna
seeria-sari
tema kohta
võtmesõna
Otsing
Valikud
0
ilmumisaasta
AND
OR
NOT
autor
AND
OR
NOT
TTÜ struktuuriüksus
AND
OR
NOT
märksõna
AND
OR
NOT
seeria-sari
AND
OR
NOT
tema kohta
AND
OR
NOT
võtmesõna
AND
OR
NOT