Finite Duration Root Nyquist Pulses with Maximum In-Band Fractional Energy. - Gaurav Nigam; Rahul Singh 001; A. K. Chaturvedi (IEEE Commun. Lett., 2010)

On LQR control with asynchronous clocks. - Rahul Singh 001; Vijay Gupta 001 (CDC/ECC, 2011)

Real-Time Stochastic Processing Networks with Concurrent Resource Requirements - I-Hong Hou; Rahul Singh 001 (CoRR, 2012)

Pathwise performance of debt based policies for wireless networks with hard delay constraints. - Rahul Singh 001; I-Hong Hou; P. R. Kumar 001 (CDC, 2013)

Scheduling of access points for multiple live video streams. - I-Hong Hou; Rahul Singh 001 (MobiHoc, 2013)

Capacity and Scheduling of Access Points for Multiple Live Video Streams. - I-Hong Hou; Rahul Singh 001 (CoRR, 2013)

Fluctuation analysis of debt based policies for wireless networks with hard delay constraints. - Rahul Singh 001; I-Hong Hou; P. R. Kumar 001 (INFOCOM, 2014)

A polymatroid approach to separable convex optimization with linear ascending constraints. - P. T. Akhil; Rahul Singh 001; Rajesh Sundaresan (NCC, 2014)

The ISO problem: Decentralized stochastic control via bidding schemes. - Rahul Singh 001; Panganamala Ramana Kumar; Le Xie 001 (Allerton, 2015)

Decentralized throughput maximizing policies for deadline-constrained wireless networks. - Rahul Singh 001; Panganamala Ramana Kumar (CDC, 2015)

Optimizing quality of experience of dynamic video streaming over fading wireless networks. - Rahul Singh 001; P. R. Kumar 001 (CDC, 2015)

A theory for the economic operation of a smart grid with stochastic renewables, demand response and storage. - Rahul Singh 001; Ke Ma 003; Anupam A. Thatte; P. R. Kumar 001; Le Xie 001 (CDC, 2015)

Optimal energy-efficient regular delivery of packets in cyber-physical systems. - Xueying Guo; Rahul Singh 001; Panganamala Ramana Kumar; Zhisheng Niu (ICC, 2015)

Index policies for optimal mean-variance trade-off of inter-delivery times in real-time sensor networks. - Rahul Singh 001; Xueying Guo; P. R. Kumar 001 (INFOCOM, 2015)

A High Reliability Asymptotic Approach for Packet Inter-Delivery Time Optimization in Cyber-Physical Systems. - Xueying Guo; Rahul Singh 001; Panganamala Ramana Kumar; Zhisheng Niu (MobiHoc, 2015)

MaxWeight Scheduling: Asymptotic Behavior of Unscaled Queue-Differentials in Heavy Traffic. - Rahul Singh 001; Alexander L. Stolyar (SIGMETRICS, 2015)

A Theory for the Operation of the Independent System Operator in a Smart Grid with Stochastic Renewables, Demand Response and Storage. - Rahul Singh 001; Ke Ma 003; Anupam A. Thatte; Panganamala Ramana Kumar; Le Xie 001 (CoRR, 2015)

Minimizing the Age of Information in broadcast wireless networks. - Igor Kadota; Elif Uysal-Biyikoglu; Rahul Singh 001; Eytan H. Modiano (Allerton, 2016)

An index based task assignment policy for achieving optimal power-delay tradeoff in edge cloud systems. - Xueying Guo; Rahul Singh 001; Tianchu Zhao; Zhisheng Niu (ICC, 2016)

MaxWeight scheduling: "Smoothness" of the service process. - Rahul Singh 001; Alexander L. Stolyar (INFOCOM, 2016)

Throughput Optimal Decentralized Scheduling of Multi-Hop Networks with End-to-End Deadline Constraints: Unreliable Links. - Rahul Singh 001; P. R. Kumar 001 (CoRR, 2016)

Dynamic Adaptive Streaming using Index-Based Learning Algorithms. - Rahul Singh 001; P. R. Kumar 001 (CoRR, 2016)

Risk-sensitive optimal control of queues. - Rahul Singh 001; Xueying Guo; Eytan H. Modiano (CDC, 2017)

Kiefer Wolfowitz Algorithm is Asymptotically Optimal for a Class of Non-Stationary Bandit Problems. - Rahul Singh 001; Taposh Banerjee (CoRR, 2017)

Optimal Routing for Delay-Sensitive Traffic in Overlay Networks. - Rahul Singh 001; Eytan H. Modiano (CoRR, 2017)

Throughput Optimal Decentralized Scheduling of Multi-Hop Networks with End-to-End Deadline Constraints: II Wireless Networks with Interference. - Rahul Singh 001; P. R. Kumar 001; Eytan H. Modiano (CoRR, 2017)

Decentralized Control via Dynamic Stochastic Prices: The Independent System Operator Problem. - Rahul Singh 001; P. R. Kumar 001; Le Xie 001 (IEEE Trans. Autom. Control., 2018)

A Risk-Sensitive Approach for Packet Inter-Delivery Time Optimization in Networked Cyber-Physical Systems. - Xueying Guo; Rahul Singh 001; P. R. Kumar 001; Zhisheng Niu (IEEE/ACM Trans. Netw., 2018)

Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks. - Igor Kadota; Abhishek Sinha; Elif Uysal-Biyikoglu; Rahul Singh 001; Eytan H. Modiano (IEEE/ACM Trans. Netw., 2018)

Optimal Information Updating based on Value of Information. - Rahul Singh 001; Gopal Krishna Kamath; P. R. Kumar 001 (Allerton, 2019)

A Distributed Algorithm for Throughput Optimal Routing in Overlay Networks. - Anurag Rai; Rahul Singh 001; Eytan H. Modiano (Networking, 2019)

Optimal Decentralized Dynamic Policies for Video Streaming over Wireless Channels. - Rahul Singh 001; P. R. Kumar 001 (CoRR, 2019)

Optimal Age-Energy Trade-off via Sleep-Wake Scheduling. - Ahmed M. Bedewy; Yin Sun; Rahul Singh 001; Ness B. Shroff (CoRR, 2019)

Throughput Optimal Decentralized Scheduling of Multihop Networks With End-to-End Deadline Constraints: Unreliable Links. - Rahul Singh 001; P. R. Kumar 001 (IEEE Trans. Autom. Control., 2019)

Optimizing information freshness using low-power status updates via sleep-wake scheduling. - Ahmed M. Bedewy; Yin Sun; Rahul Singh 001; Ness B. Shroff (MobiHoc, 2020)

Learning in Markov Decision Processes under Constraints. - Rahul Singh 001; Abhishek Gupta 002; Ness B. Shroff (CoRR, 2020)

Learning in Networked Control Systems. - Rahul Singh 001; P. R. Kumar 001 (CoRR, 2020)

Contextual Bandits with Side-Observations. - Rahul Singh 001; Fang Liu 020; Xin Liu 002; Ness B. Shroff (CoRR, 2020)

A Partially Observable MDP Approach for Sequential Testing for Infectious Diseases such as COVID-19. - Rahul Singh 001; Fang Liu 020; Ness B. Shroff (CoRR, 2020)

Reward Biased Maximum Likelihood Estimation for Reinforcement Learning. - Akshay Mete; Rahul Singh 001; P. R. Kumar 001 (CoRR, 2020)

Reward Biased Maximum Likelihood Estimation for Reinforcement Learning. - Akshay Mete; Rahul Singh 001; Xi Liu 011; P. R. Kumar 001 (L4DC, 2021)

Learning Augmented Index Policy for Optimal Service Placement at the Network Edge. - Guojun Xiong; Rahul Singh 001; Jian Li 008 (CoRR, 2021)

Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers. - Guojun Xiong; Gang Yan 002; Rahul Singh 001; Jian Li 008 (CoRR, 2021)

Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits. - Guojun Xiong; Jian Li 008; Rahul Singh 001 (CoRR, 2021)

Low-Power Status Updates via Sleep-Wake Scheduling. - Ahmed M. Bedewy; Yin Sun; Rahul Singh 001; Ness B. Shroff (IEEE/ACM Trans. Netw., 2021)

Adaptive CSMA for Decentralized Scheduling of Multi-Hop Networks With End-to-End Deadline Constraints. - Rahul Singh 001; P. R. Kumar 001 (IEEE/ACM Trans. Netw., 2021)

Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits. - Guojun Xiong; Jian Li 008; Rahul Singh 001 (AAAI, 2022)

The RBMLE method for Reinforcement Learning. - Akshay Mete; Rahul Singh 001; P. R. Kumar 001 (CISS, 2022)

Index-aware reinforcement learning for adaptive video streaming at the wireless edge. - Guojun Xiong; Xudong Qin; Bin Li 014; Rahul Singh 001; Jian Li 008 (MobiHoc, 2022)

Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems. - Akshay Mete; Rahul Singh 001; P. R. Kumar 001 (NeurIPS, 2022)

Model-free Reinforcement Learning for Content Caching at the Wireless Edge via Restless Bandits. - Guojun Xiong; Shufan Wang; Jian Li 008; Rahul Singh 001 (CoRR, 2022)

The Reward Biased Method: An Optimism based Approach for Reinforcement Learning. - Akshay Mete; Rahul Singh 001; P. R. Kumar 001 (Allerton, 2023)

Finite Time Regret Bounds for Minimum Variance Control of Autoregressive Systems with Exogenous Inputs. - Rahul Singh 001; Akshay Mete; Avik Kar; P. R. Kumar 001 (CoRR, 2023)

Learning in Constrained Markov Decision Processes. - Rahul Singh 001; Abhishek Gupta 002; Ness B. Shroff (IEEE Trans. Control. Netw. Syst., 2023)

Delay-Optimal Scheduling for Integrated mmWave - Sub-6 GHz Systems With Markovian Blockage Model. - Guidan Yao; Morteza Hashemi; Rahul Singh 001; Ness B. Shroff (IEEE Trans. Mob. Comput., 2023)

Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation. - Rahul Singh 001; Akshay Mete; Avik Kar; Panganamala R. Kumar (ICML, 2024)

Adaptive Discretization-based Non-Episodic Reinforcement Learning in Metric Spaces. - Avik Kar; Rahul Singh 001 (CoRR, 2024)

Optimal Risk-Sensitive Scheduling Policies for Remote Estimation of Autoregressive Markov Processes. - Manali Dutta; Rahul Singh 001 (IEEE Control. Syst. Lett., 2024)

Multi-armed bandits with dependent arms. - Rahul Singh 001; Fang Liu 020; Yin Sun; Ness B. Shroff (Mach. Learn., 2024)

Linear Bandits With Side Observations on Networks. - Avik Kar; Rahul Singh 001; Fang Liu 020; Xin Liu 002; Ness B. Shroff (IEEE/ACM Trans. Netw., 2024)

Whittle Index-Based Q-Learning for Wireless Edge Caching With Linear Function Approximation. - Guojun Xiong; Shufan Wang; Jian Li 008; Rahul Singh 001 (IEEE/ACM Trans. Netw., 2024)

Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces. - Avik Kar; Rahul Singh 001 (UAI, 2025)