Prashanth, L. A.

9 publications

AISTATS 2025 Risk-Sensitive Bandits: Arm Mixture Optimality and Regret-Efficient Algorithms Meltem Tatlı, Arpan Mukherjee, L. A. Prashanth, Karthikeyan Shanmugam, Ali Tajer

ICML 2024 Policy Evaluation for Variance in Average Reward Reinforcement Learning Shubhada Agrawal, L A Prashanth, Siva Theja Maguluri

ICML 2024 Risk Estimation in a Markov Cost Process: Lower and Upper Bounds Gugan Thoppe, L A Prashanth, Sanjay P. Bhat

UAI 2023 A Policy Gradient Approach for Optimization of Smooth Risk Measures Nithia Vijayan, L. A. Prashanth

FnTML 2022 Risk-Sensitive Reinforcement Learning via Policy Gradient Search L. A. Prashanth, Michael C. Fu

MLJ 2021 Concentration Bounds for Temporal Difference Learning with Linear Function Approximation: The Case of Batch Data and Uniform Sampling L. A. Prashanth, Nathaniel Korda, Rémi Munos

MLJ 2016 Variance-Constrained Actor-Critic Algorithms for Discounted and Average Reward MDPs L. A. Prashanth, Mohammad Ghavamzadeh

ECML-PKDD 2014 Fast LSTD Using Stochastic Approximation: Finite Time Analysis and Application to Traffic Control L. A. Prashanth, Nathaniel Korda, Rémi Munos

ALT 2014 Policy Gradients for CVaR-Constrained MDPs L. A. Prashanth