Maguluri, Siva Theja

7 publications

AISTATS 2025 Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem Shaan Ul Haque, Siva Theja Maguluri

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

ICML 2022 Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling Sajad Khodadadian, Pranay Sharma, Gauri Joshi, Siva Theja Maguluri

NeurIPS 2021 Finite Sample Analysis of Average-Reward TD Learning and $q$-Learning Sheng Zhang, Zhe Zhang, Siva Theja Maguluri

ICML 2021 Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm Sajad Khodadadian, Zaiwei Chen, Siva Theja Maguluri

NeurIPS 2021 Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam

NeurIPS 2020 Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam