Siddharth Chandak

28 papers A 1C 1Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Heavy-Tailed and Long-Range Dependent Noise in Stochastic Approximation: A Finite-Time Analysis. CoRR Siddharth Chandak, Anuj Yadav, Ayfer Özgür, Nicholas Bambos
2026	J	`jnl`	High-Probability Bounds for SGD under the Polyak-Lojasiewicz Condition with Markovian Noise. CoRR Avik Kar, Siddharth Chandak, Rahul Singh, Eric Moulines, Shalabh Bhatnagar, Nicholas Bambos
2026	J	`jnl`	Regret and Sample Complexity of Online Q-Learning via Concentration of Stochastic Approximation with Time-Inhomogeneous Markov Chains. CoRR Rahul Singh, Siddharth Chandak, Eric Moulines, Vivek S. Borkar, Nicholas Bambos
2025	J	`jnl`	Choose Your Battles: Distributed Learning Over Multiple Tug of War Games. CoRR Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
2025	—	`conf`	Finite-Time Bounds for Two-Time-Scale Stochastic Approximation with Arbitrary Norm Contractions and Markovian Noise. CDC Siddharth Chandak, Shaan Ul Haque, Nicholas Bambos
2025	J	`jnl`	Finite-Time Bounds for Two-Time-Scale Stochastic Approximation with Arbitrary Norm Contractions and Markovian Noise. CoRR Siddharth Chandak, Shaan Ul Haque, Nicholas Bambos
2025	J	`jnl`	Non-Expansive Mappings in Two-Time-Scale Stochastic Approximation: Finite-Time Analysis. CoRR Siddharth Chandak
2025	J	`jnl`	O(1/k) Finite-Time Bound for Non-Linear Two-Time-Scale Stochastic Approximation. CoRR Siddharth Chandak
2025	—	`conf`	Optimal Control for Remote Patient Monitoring with Multidimensional Health States. ICC Siddharth Chandak, Isha Thapa, Nicholas Bambos, David Scheinker
2025	J	`jnl`	Optimal Control for Remote Patient Monitoring with Multidimensional Health States. CoRR Siddharth Chandak, Isha Thapa, Nicholas Bambos, David Scheinker
2024	J	`jnl`	Learning to Control Unknown Strongly Monotone Games. CoRR Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
2024	J	`jnl`	Reinforcement learning in non-Markovian environments. Syst. Control. Lett. Siddharth Chandak, Pratik Shah, Vivek S. Borkar, Parth Dodhia
2024	C	`conf`	Tiered Service Architecture for Remote Patient Monitoring. HealthCom Siddharth Chandak, Isha Thapa, Nicholas Bambos, David Scheinker
2024	J	`jnl`	Tiered Service Architecture for Remote Patient Monitoring. CoRR Siddharth Chandak, Isha Thapa, Nicholas Bambos, David Scheinker
2023	J	`jnl`	A Concentration Bound for TD(0) with Function Approximation. CoRR Siddharth Chandak, Vivek S. Borkar
2023	J	`jnl`	A concentration bound for LSPE(λ). Syst. Control. Lett. Siddharth Chandak, Vivek S. Borkar, Harsh Dolhare
2023	A	`conf`	Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics. AAMAS Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
2023	J	`jnl`	Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics. CoRR Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
2023	—	`conf`	Tug of Peace: Distributed Learning for Quality of Service Guarantees. CDC Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
2022	J	`jnl`	Learning to Speak on Behalf of a Group: Medium Access Control for Sending a Shared Message. CoRR Shaan Ul Haque, Siddharth Chandak, Federico Chiariotti, Deniz Gündüz, Petar Popovski
2022	J	`jnl`	Learning to Speak on Behalf of a Group: Medium Access Control for Sending a Shared Message. IEEE Commun. Lett. Shaan Ul Haque, Siddharth Chandak, Federico Chiariotti, Deniz Gündüz, Petar Popovski
2022	J	`jnl`	Reinforcement Learning in Non-Markovian Environments. CoRR Siddharth Chandak, Vivek S. Borkar, Parth Dodhia
2021	J	`jnl`	A Concentration Bound for LSPE(λ). CoRR Vivek S. Borkar, Siddharth Chandak, Harsh Dolhare
2021	J	`jnl`	Concentration of Contractive Stochastic Approximation and Reinforcement Learning. CoRR Siddharth Chandak, Vivek S. Borkar
2021	J	`jnl`	Hidden Markov Model-Based Encoding for Time-Correlated IoT Sources. CoRR Siddharth Chandak, Federico Chiariotti, Petar Popovski
2021	J	`jnl`	Hidden Markov Model-Based Encoding for Time-Correlated IoT Sources. IEEE Commun. Lett. Siddharth Chandak, Federico Chiariotti, Petar Popovski
2021	J	`jnl`	Prospect-theoretic Q-learning. CoRR Vivek S. Borkar, Siddharth Chandak
2021	J	`jnl`	Prospect-theoretic Q-learning. Syst. Control. Lett. Vivek S. Borkar, Siddharth Chandak