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Siva Theja Maguluri
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Stochastic models of load balancing and scheduling in cloud computing clusters
ST Maguluri, R Srikant, L Ying
2012 Proceedings IEEE Infocom, 702-710, 2012
3942012
Scheduling jobs with unknown duration in clouds
ST Maguluri, R Srikant
IEEE/ACM Transactions On Networking 22 (6), 1938-1951, 2013
1242013
Heavy traffic optimal resource allocation algorithms for cloud computing clusters
ST Maguluri, R Srikant, L Ying
Performance Evaluation 81, 20-39, 2014
1052014
Finite-time analysis of distributed TD (0) with linear function approximation on multi-agent reinforcement learning
T Doan, S Maguluri, J Romberg
International Conference on Machine Learning, 1626-1635, 2019
992019
Heavy traffic queue length behavior in a switch under the MaxWeight algorithm
ST Maguluri, R Srikant
Stochastic Systems 6 (1), 211-250, 2016
79*2016
Performance of Q-learning with Linear Function Approximation: Stability and Finite-Time Analysis
Z Chen, S Zhang, T Doan, ST Maguluri, JP Clarke
arXiv preprint arXiv:1905.11425, 2019
76*2019
Fast convergence rates of distributed subgradient methods with adaptive quantization
TT Doan, ST Maguluri, J Romberg
IEEE Transactions on Automatic Control 66 (5), 2191-2205, 2020
46*2020
Finite-sample analysis of contractive stochastic approximation using smooth convex envelopes
Z Chen, ST Maguluri, S Shakkottai, K Shanmugam
Advances in Neural Information Processing Systems 33, 8223-8234, 2020
46*2020
Optimal heavy-traffic queue length scaling in an incompletely saturated switch
ST Maguluri, SK Burle, R Srikant
Proceedings of the 2016 ACM SIGMETRICS International Conference on …, 2016
362016
Finite-time performance of distributed temporal-difference learning with linear function approximation
TT Doan, ST Maguluri, J Romberg
SIAM Journal on Mathematics of Data Science 3 (1), 298-320, 2021
352021
Heavy-traffic insensitive bounds for weighted proportionally fair bandwidth sharing policies
W Wang, ST Maguluri, R Srikant, L Ying
Mathematics of Operations Research, 2022
34*2022
Convergence rates of distributed gradient methods under random quantization: A stochastic approximation approach
TT Doan, ST Maguluri, J Romberg
IEEE Transactions on Automatic Control 66 (10), 4469-4484, 2020
33*2020
A Lyapunov theory for finite-sample guarantees of asynchronous Q-learning and TD-learning variants
Z Chen, ST Maguluri, S Shakkottai, K Shanmugam
arXiv preprint arXiv:2102.01567, 2021
312021
On the linear convergence of natural policy gradient algorithm
S Khodadadian, PR Jhunjhunwala, SM Varma, ST Maguluri
2021 60th IEEE Conference on Decision and Control (CDC), 3794-3799, 2021
292021
Transform methods for heavy-traffic analysis
D Hurtado-Lange, ST Maguluri
Stochastic Systems 10 (4), 275-309, 2020
242020
Finite-sample analysis of off-policy natural actor-critic algorithm
S Khodadadian, Z Chen, ST Maguluri
International Conference on Machine Learning, 5420-5431, 2021
212021
Finite sample analysis of two-time-scale natural actor-critic algorithm
S Khodadadian, TT Doan, J Romberg, ST Maguluri
IEEE Transactions on Automatic Control, 2022
192022
Heavy traffic queue length behavior in switches with reconfiguration delay
CH Wang, ST Maguluri, T Javidi
IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017
182017
The Stability of Longest-Queue-First Scheduling With Variable Packet Sizes
ST Maguluri, B Hajek, R Srikant
Automatic Control, IEEE Transactions on 59 (8), 2295 - 2300, 2014
172014
Finite-Sample Analysis of Off-Policy Natural Actor–Critic With Linear Function Approximation
Z Chen, S Khodadadian, ST Maguluri
IEEE Control Systems Letters 6, 2611-2616, 2022
132022
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