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46 Publications
28 Journals
L. A. Prashanth
Associate Professor
Department of Computer Science and Engineering
prashla@cse.iitm.ac.in (Work)
+91-44-2257-4377 (Work)
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Publications - 46
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Publications (46)
Network (6)
Publications (46)
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Journal
Concentration bounds for temporal difference learning with linear function approximation: the case of batch data and uniform sampling
L. A. Prashanth
,
Korda N.
and
Munos R.
2021 | Springer
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Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions
L. A. Prashanth
,
Krishna Prasanna Jagannathan
and
Kolla R.K.
2020 | International Machine Learning Society (IMLS)
Journal
Random Directions Stochastic Approximation with Deterministic Perturbations
L. A. Prashanth
,
Bhatnagar S.
,
K. Bhaskar
,
...
,
Marcus S.I.
(5 authors)
2020 | IEEE
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PDF
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Concentration of risk measures: A wasserstein distance approach
L. A. Prashanth
and
Bhat S.P.
2019
Other
Correlated bandits or: How to minimize mean-squared error online
L. A. Prashanth
and
Boda V.P.
2019
Articles
Open Access
Concentration bounds for empirical conditional value-at-risk: The unbounded case
L. A. Prashanth
and
Krishna Prasanna Jagannathan
2019 | Elsevier B.V.
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Preprint
Articles
Stochastic Optimization in a Cumulative Prospect Theory Framework
L. A. Prashanth
2018 | Institute of Electrical and Electronics Engineers Inc.
Journal
Adaptive System Optimization Using Random Directions Stochastic Approximation
L. A. Prashanth
,
Bhatnagar S.
,
...
,
Marcus S.
(4 authors)
2017 | Institute of Electrical and Electronics Engineers Inc.
Other
Weighted bandits or: How bandits learn distorted values that are not expected
L. A. Prashanth
,
Gopalan A.
,
...
,
Marcus S.
(4 authors)
2017
Other
Improved Hessian estimation for adaptive random directions stochastic approximation
L. A. Prashanth
,
Srinivas Reddy K.
and
Bhatnagar S.
2016 | Institute of Electrical and Electronics Engineers Inc.
Other
(Bandit) convex optimization with biased noisy gradient oracles
L. A. Prashanth
,
Hu X.
,
...
,
Szepesvári C.
(4 authors)
2016
Other
Cumulative prospect theory meets reinforcement learning: Prediction and control
L. A. Prashanth
,
Jie C.
,
...
,
Szepesvari C.
(5 authors)
2016 | International Machine Learning Society (IMLS)
Journal
Variance-constrained actor-critic algorithms for discounted and average reward MDPs
L. A. Prashanth
and
Ghavamzadeh M.
2016 | Springer New York LLC
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A constrained optimization perspective on actor–critic algorithms and application to network routing
L. A. Prashanth
,
H.L. Prasad
,
...
,
Sudakar Chandran
(4 authors)
2016 | Elsevier BV
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Simultaneous Perturbation Newton Algorithms for Simulation Optimization
L. A. Prashanth
and
Bhatnagar Shalabh
2015 | Springer Science and Business Media LLC
Other
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence
L. A. Prashanth
and
Korda N.
2015 | International Machine Learning Society (IMLS)
Journal
Simultaneous perturbation methods for adaptive labor staffing in service systems
L. A. Prashanth
,
Bhatnagar S.
,
...
,
Dasgupta G.
(5 authors)
2015 | Sage Publications
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PDF
Postprint
Other
Two-timescale algorithms for learning nash equilibria in general-sum stochastic games
L. A. Prashanth
,
Prasad H.L.
and
Bhatnagar S.
2015 | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Other
Fast gradient descent for drifting least squares regression, with application to bandits
L. A. Prashanth
,
Korda N.
and
Munos R.
2015 | AI Access Foundation
Other
Two timescale convergent Q-learning for sleep-scheduling in wireless sensor networks
L. A. Prashanth
,
Dhiman Chatterjee
and
Bhatnagar Shalabh
2014 | Springer Science and Business Media LLC
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PDF
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