Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Indu John"'
Publikováno v:
IEEE Control Systems Letters. 4:524-529
In this paper, we derive a generalization of the Speedy Q-learning (SQL) algorithm that was proposed in the Reinforcement Learning (RL) literature to handle slow convergence of Watkins' Q-learning. In most RL algorithms such as Q-learning, the Bellma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::530771884fb67920790853d968525205
https://doi.org/10.1109/lcsys.2020.2970555
https://doi.org/10.1109/lcsys.2020.2970555
Autor:
Indu John, Shalabh Bhatnagar
Publikováno v:
IJCNN
We present a new deep reinforcement learning algorithm using the technique of successive over-relaxation (SOR) in Deep Q-networks (DQNs). The new algorithm, named SOR-DQN, uses modified targets in the DQN framework with the aim of accelerating traini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fca14a54bd90e737af6b2fb6e0f5ab0
https://doi.org/10.1109/ijcnn48605.2020.9206598
https://doi.org/10.1109/ijcnn48605.2020.9206598
Publikováno v:
ICMLA
In any industrial or software system, predicting future values of measurable parameters well in advance is of utmost importance for avoiding disruptions. The historical data on system parameters measured at regular time intervals can be leveraged to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::461e3bac56ddb65d574a7b1785147a70
https://doi.org/10.1109/icmla.2019.00152
https://doi.org/10.1109/icmla.2019.00152
Publikováno v:
2019 Grace Hopper Celebration India (GHCI).
Elasticity is an attractive feature of cloud computing, that enables increasing or decreasing the resources allocated to an application in order to adapt to changes in the workload. To efficiently utilize elasticity of clouds, the decisions on resour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::371a4b0e477aaf24fe80b588250f8186
https://doi.org/10.1109/ghci47972.2019.9071835
https://doi.org/10.1109/ghci47972.2019.9071835
Publikováno v:
FAS*W@SASO/ICAC
An appealing feature of cloud computing is elasticity, that allows shrinking or expanding the resources allocated to an application in order to adjust to workload variations. The resource provisioning algorithm must also adhere to the performance req
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2b0ef53f349b0939e302ad50ca95ee1
https://doi.org/10.1109/fas-w.2019.00077
https://doi.org/10.1109/fas-w.2019.00077
Autor:
Shalabh Bhatnagar, Indu John
Publikováno v:
COMAD/CODS
Requesters in crowdsourcing marketplaces would like to efficiently allocate a fixed budget, among the set of tasks to be completed, which are of varying difficulty levels. The uncertainty in the arrival and departure of workers and the diversity in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a09ce97b2fd8903cc35752b5528e29a1
https://doi.org/10.1145/3297001.3297050
https://doi.org/10.1145/3297001.3297050
Autor:
Indu John, B. Jayanand
Publikováno v:
2015 International Conference on Power, Instrumentation, Control and Computing (PICC).
Renewable energy systems become more present in the energy market and wind power has already proven it's potential. The offshore wind farms have also been continuing its growth rapidly due to much better wind conditions like onshore wind farms. The s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fa4f2b52eb828b3f33f475140355e85
https://doi.org/10.1109/picc.2015.7455745
https://doi.org/10.1109/picc.2015.7455745
