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L. A. Prashanth
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L. A. Prashanth11 visible / 11 total nodes / 24 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onAuthorshipAuthorshipWorks onAuthorshipWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalL. A. PrashanthAL. A. PrashanthResearcherReinforcement Learning for Exponential Utility: Algorithms and Convergence in Discounted MDPsWReinforcement Learning ...preprint / 2026Gugan ThoppeAGugan ThoppeResearcherAnkur NaskarAAnkur NaskarResearcherSanjay BhatASanjay BhatResearcherConcentration bounds for temporal difference learning with linear function approximation: The case of batch data and uniform samplingWConcentration bounds fo...preprint / 2020Simultaneous Perturbation Methods for Adaptive Labor Staffing in Service SystemsWSimultaneous Perturbati...preprint / 2013Machine LearningTMachine Learning49008 worksSimultaneous Perturbation Algorithms for Batch Off-Policy SearchWSimultaneous Perturbati...preprint / 2014Actor-Critic Algorithms for Learning Nash Equilibria in N-player General-Sum GamesWActor-Critic Algorithms...preprint / 2015On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergenceWOn TD(0) with function ...preprint / 2015
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L. A. Prashanth

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PaperReinforcement Learning for Exponential Utility: Algorithms and Convergence in Discounted MDPsAuthorship / preprint / 2026PersonGugan ThoppeCo-authorship / ResearcherPersonAnkur NaskarCo-authorship / ResearcherPersonSanjay BhatCo-authorship / ResearcherPaperConcentration bounds for temporal difference learning with linear function approximation: The case of batch data and uniform samplingAuthorship / preprint / 2020PaperSimultaneous Perturbation Methods for Adaptive Labor Staffing in Service SystemsAuthorship / preprint / 2013TopicMachine LearningWorks on / 49008 worksPaperSimultaneous Perturbation Algorithms for Batch Off-Policy SearchAuthorship / preprint / 2014

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