activity
20152026
most citedFinite-Time Analysis of Distributed TD(0) with Linear Function Approximation for Multi-Agent Reinforcement Learning

50 citations · 88 across the 32 of their papers we have counts for

collaborators
Showing math.PRShow all

17 papers · 1 filter

math.PR2026

Concentration of General Stochastic Approximation Under Heavy-Tailed Markovian Noise

Shubhada Agrawal, Siva Theja Maguluri, Martin Zubeldia

We establish maximal concentration bounds for the iterates generated by stochastic approximation algorithms with general step sizes, where the noise has a finite-state Markovian co…

math.PR2026

Tail Bounds for Queues with Abandonment: Constant, Moderate, Large Deviations, and Efficient Concentration

Zedong Wang, Siva Theja Maguluri

We study a heavily overloaded single-server queue with abandonment and derive bounds on stationary tail probabilities of the queue length. As the abandonment rate ,…

math.PR2026

Higher-Order Approximations of Sojourn Times in M/G/1 Queues via Stein's Method

Bihan Chatterjee, Siva Theja Maguluri, Debankur Mukherjee

We study the stationary sojourn time distribution in an M/G/1 queue operating under heavy traffic. It is known that the sojourn time converges to an exponential distribution in the…

math.PR2025★ 1 cited

Finite-Time Behavior of Erlang-C Model: Mixing Time, Mean Queue Length and Tail Bounds

Hoang Huy Nguyen, Sushil Mahavir Varma, Siva Theja Maguluri

Service systems like data centers and ride-hailing are popularly modeled as queueing systems in the literature. Such systems are primarily studied in the steady state due to their…

math.PR2025

Convergence Rate of the Join-the-Shortest-Queue System

Yuanzhe Ma, Siva Theja Maguluri

The Join-the-Shortest-Queue (JSQ) policy is among the most widely used load balancing algorithms and has been extensively studied. However, an exact characterization of the system…

math.PR2023★ 1 cited

Exponential Tail Bounds on Queues: A Confluence of Non-Asymptotic Heavy Traffic and Large Deviations

Prakirt Raj Jhunjhunwala, Daniela Hurtado-Lange, Siva Theja Maguluri

In general, obtaining the exact steady-state distribution of queue lengths is not feasible. Therefore, we establish bounds for the tail probabilities of queue lengths. Specifically…