R. Srikant

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 142

Top Venues

CoRR

INFOCOM

CDC

SIGMETRICS Perform. Evaluation Rev.

Publications

Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. CoRR (2024)
Semih Cayci, Niao He, R. Srikant
Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation. SIAM J. Optim. 34 (3) (2024)
Navdeep Kumar, Yashaswini Murthy, Itai Shufaro, Kfir Y. Levy, R. Srikant, Shie Mannor
On the Global Convergence of Policy Gradient in Average Reward Markov Decision Processes. CoRR (2024)
Isaac Grosof, Siva Theja Maguluri, R. Srikant
Convergence for Natural Policy Gradient on Infinite-State Average-Reward Markov Decision Processes. CoRR (2024)
Yihan Du, R. Srikant, Wei Chen
Cascading Reinforcement Learning. ICLR (2024)
Yashaswini Murthy, Isaac Grosof, Siva Theja Maguluri, R. Srikant
Performance of NPG in Countable State-Space Average-Cost RL. CoRR (2024)
Arghyadip Roy, Sanjay Shakkottai, R. Srikant
Adaptive KL-UCB Based Bandit Algorithms for Markovian and I.I.D. Settings. IEEE Trans. Autom. Control. 69 (4) (2024)
S. Rasoul Etesami, R. Srikant
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach. CoRR (2024)
Semih Cayci, Niao He, R. Srikant
Finite-Time Analysis of Entropy-Regularized Neural Natural Actor-Critic Algorithm. Trans. Mach. Learn. Res. 2024 (2024)
Anna Winnicki, R. Srikant
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games. CoRR (2023)
Yashaswini Murthy, Mehrdad Moharrami, R. Srikant
Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms. CoRR (2023)
Seo Taek Kong, Saptarshi Mandal, Dimitrios Katselis, R. Srikant
A Provably Improved Algorithm for Crowdsourcing with Hard and Easy Tasks. CoRR (2023)
Xiaotian Xie, Dimitrios Katselis, Carolyn L. Beck, R. Srikant
Finite Sample Analysis for Structured Discrete System Identification. IEEE Trans. Autom. Control. 68 (10) (2023)
Daniel Vial, Sanjay Shakkottai, R. Srikant
Robust Multi-Agent Bandits Over Undirected Graphs. SIGMETRICS (Abstracts) (2023)
Yashaswini Murthy, Mehrdad Moharrami, R. Srikant
Modified Policy Iteration for Exponential Cost Risk Sensitive MDPs. L4DC (2023)
Yashaswini Murthy, R. Srikant
On the Convergence of Natural Policy Gradient and Mirror Descent-Like Policy Methods for Average-Reward MDPs. CDC (2023)
Anna Winnicki, R. Srikant
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation. CoRR (2023)
Yashaswini Murthy, Mehrdad Moharrami, R. Srikant
Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms. NeurIPS (2023)
Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits. CoRR (2023)
Ameya Anjarlekar, S. Rasoul Etesami, R. Srikant
Striking a Balance: An Optimal Mechanism Design for Heterogenous Differentially Private Data Acquisition for Logistic Regression. CoRR (2023)
Zixian Yang, R. Srikant, Lei Ying
Learning While Scheduling in Multi-Server Systems With Unknown Statistics: MaxWeight with Discounted UCB. AISTATS (2023)
Anna Winnicki, R. Srikant
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation. AISTATS (2023)
Anna Winnicki, R. Srikant
Performance Bounds for Policy-Based Reinforcement Learning Methods in Zero-Sum Markov Games with Linear Function Approximation. CDC (2023)
Semih Cayci, Siddhartha Satpathi, Niao He, R. Srikant
Sample Complexity and Overparameterization Bounds for Temporal-Difference Learning With Neural Network Approximation. IEEE Trans. Autom. Control. 68 (5) (2023)
Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits. ICML (2023)
Yashaswini Murthy, Mehrdad Moharrami, R. Srikant
Modified Policy Iteration for Exponential Cost Risk Sensitive MDPs. CoRR (2023)
Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
Improved Algorithms for Misspecified Linear Markov Decision Processes. AISTATS (2022)
Xiaotian Xie, Dimitrios Katselis, Carolyn L. Beck, R. Srikant
On the Consistency of Maximum Likelihood Estimators for Causal Network Identification. IEEE Control. Syst. Lett. 6 (2022)
Daniel Vial, Sanjay Shakkottai, R. Srikant
Robust Multi-Agent Bandits Over Undirected Graphs. CoRR (2022)
Weina Wang, Siva Theja Maguluri, R. Srikant, Lei Ying
Heavy-Traffic Insensitive Bounds for Weighted Proportionally Fair Bandwidth Sharing Policies. Math. Oper. Res. 47 (4) (2022)
Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. ICML (2022)
Anna Winnicki, R. Srikant
Reinforcement Learning with Unbiased Policy Evaluation and Linear Function Approximation. CoRR (2022)
Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant
Minimax Regret for Cascading Bandits. NeurIPS (2022)
Semih Cayci, Niao He, R. Srikant
Learning to Control Partially Observed Systems with Finite Memory. CoRR (2022)
Zixian Yang, R. Srikant, Lei Ying
MaxWeight With Discounted UCB: A Provably Stable Scheduling Policy for Nonstationary Multi-Server Systems With Unknown Statistics. CoRR (2022)
Shiyu Liang, Ruoyu Sun, R. Srikant
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. SIAM J. Optim. 32 (4) (2022)
Harsh Gupta, Jiangong Chen, Bin Li, R. Srikant
Online Learning-Based Rate Selection for Wireless Interactive Panoramic Scene Delivery. INFOCOM (2022)
Wentao Weng, R. Srikant
An algorithm for improved delay-scaling in input-queued switches. Queueing Syst. Theory Appl. 100 (1-2) (2022)
Semih Cayci, Niao He, R. Srikant
Finite-Time Analysis of Entropy-Regularized Neural Natural Actor-Critic Algorithm. CoRR (2022)
Anna Winnicki, R. Srikant
Reinforcement Learning with Unbiased Policy Evaluation and Linear Function Approximation. CDC (2022)
Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant
Minimax Regret for Cascading Bandits. CoRR (2022)
Joseph Lubars, Harsh Gupta, Sandeep Chinchali, Liyun Li, Adnan Raja, R. Srikant, Xinzhou Wu
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging. ITSC (2021)
Siddhartha Satpathi, R. Srikant
The Dynamics of Gradient Descent for Overparametrized Neural Networks. CoRR (2021)
Joseph Lubars, Anna Winnicki, Michael Livesay, R. Srikant
Optimistic Policy Iteration for MDPs with Acyclic Transient State Structure. CoRR (2021)
Semih Cayci, Siddhartha Satpathi, Niao He, R. Srikant
Sample Complexity and Overparameterization Bounds for Projection-Free Neural TD Learning. CoRR (2021)
Anna Winnicki, Joseph Lubars, Michael Livesay, R. Srikant
The Role of Lookahead and Approximate Policy Evaluation in Policy Iteration with Linear Value Function Approximation. CoRR (2021)
Elza Erkip, Deniz Gündüz, Stratis Ioannidis, Jörg Kliewer, Derya Malak, Muriel Médard, R. Srikant
JSAIT Editorial for the Special Issue on "Beyond Errors and Erasures: Coding for Data Management and Delivery in Networks". IEEE J. Sel. Areas Inf. Theory 2 (4) (2021)
Daniel Vial, Sanjay Shakkottai, R. Srikant
Robust Multi-Agent Multi-Armed Bandits. MobiHoc (2021)
Shiyu Liang, Ruoyu Sun, R. Srikant
Achieving Small Test Error in Mildly Overparameterized Neural Networks. CoRR (2021)
Yiqiu Liu, Xin Liu, Lei Ying, R. Srikant
Wireless scheduling with deadline and power constraints. Perform. Evaluation 146 (2021)
Daniel Vial, Sanjay Shakkottai, R. Srikant
Robust Multi-Agent Bandits Over Undirected Graphs. Proc. ACM Meas. Anal. Comput. Syst. 6 (3) (2021)
Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
Improved Algorithms for Misspecified Linear Markov Decision Processes. CoRR (2021)
Semih Cayci, Niao He, R. Srikant
Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation. CoRR (2021)
Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. CoRR (2021)
Wentao Weng, Xingyu Zhou, R. Srikant
Optimal Load Balancing with Locality Constraints. SIGMETRICS (Abstracts) (2021)
Wentao Weng, Harsh Gupta, Niao He, Lei Ying, R. Srikant
Provably-Efficient Double Q-Learning. CoRR (2020)
Siddhartha Satpathi, Harsh Gupta, Shiyu Liang, R. Srikant
The Role of Regularization in Overparameterized Neural Networks. CDC (2020)
Daniel Vial, Sanjay Shakkottai, R. Srikant
Robust Multi-Agent Multi-Armed Bandits. CoRR (2020)
Xiaotian Xie, Dimitrios Katselis, Carolyn L. Beck, R. Srikant
On the Consistency of Maximum Likelihood Estimators for Causal Network Identification. CoRR (2020)
Daniel Vial, Sanjay Shakkottai, R. Srikant
One-bit feedback is sufficient for upper confidence bound policies. CoRR (2020)
Wentao Weng, Xingyu Zhou, R. Srikant
Optimal Load Balancing with Locality Constraints. Proc. ACM Meas. Anal. Comput. Syst. 4 (3) (2020)
Semih Cayci, Atilla Eryilmaz, R. Srikant
Budget-Constrained Bandits over General Cost and Reward Distributions. AISTATS (2020)
Jiangong Chen, Bin Li, R. Srikant
Thompson-Sampling-Based Wireless Transmission for Panoramic Video Streaming. WiOpt (2020)
Semih Cayci, Atilla Eryilmaz, R. Srikant
Continuous-Time Multi-Armed Bandits with Controlled Restarts. CoRR (2020)
Ruoyu Sun, Dawei Li, Shiyu Liang, Tian Ding, R. Srikant
The Global Landscape of Neural Networks: An Overview. CoRR (2020)
Wentao Weng, Harsh Gupta, Niao He, Lei Ying, R. Srikant
The Mean-Squared Error of Double Q-Learning. NeurIPS (2020)
Himaja Kesavareddigari, Sam Spencer, Atilla Eryilmaz, R. Srikant
Identification and Asymptotic Localization of Rumor Sources Using the Method of Types. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Xiaotian Xie, Dimitrios Katselis, Carolyn L. Beck, R. Srikant
On the Consistency of Maximum Likelihood Estimators for Causal Network Identification. CDC (2020)
Joseph Lubars, Harsh Gupta, Adnan Raja, R. Srikant, Liyun Li, Xinzhou Wu
Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging. CoRR (2020)
Wentao Weng, Xingyu Zhou, R. Srikant
Optimal Load Balancing in Bipartite Graphs. CoRR (2020)
Arghyadip Roy, Sanjay Shakkottai, R. Srikant
Hellinger KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings. CoRR (2020)
Bin Li, Atilla Eryilmaz, R. Srikant
Emulating round-robin for serving dynamic flows over wireless fading channels. MobiHoc (2020)
Semih Cayci, Atilla Eryilmaz, R. Srikant
Budget-Constrained Bandits over General Cost and Reward Distributions. CoRR (2020)
Harsh Gupta, R. Srikant, Lei Ying
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning. NeurIPS (2019)
Harsh Gupta, Niao He, R. Srikant
Optimization and Learning Algorithms for Stochastic and Adversarial Power Control. WiOpt (2019)
Joseph Lubars, R. Srikant, Lei Ying
Computationally Efficient, Stable Scheduling for Wireless Systems with Limited Probing. WiOpt (2019)
Weina Wang, Mor Harchol-Balter, Haotian Jiang, Alan Scheller-Wolf, R. Srikant
Delay asymptotics and bounds for multitask parallel jobs. Queueing Syst. Theory Appl. 91 (3-4) (2019)
Zhenzhe Zheng, R. Srikant
Optimal Search Segmentation Mechanisms for Online Platform Markets. CoRR (2019)
Zhenzhe Zheng, R. Srikant
Optimal Search Segmentation Mechanisms for Online Platform Markets. WINE (2019)
Semih Cayci, Atilla Eryilmaz, R. Srikant
Learning to Control Renewal Processes with Bandit Feedback. Proc. ACM Meas. Anal. Comput. Syst. 3 (2) (2019)
R. Srikant, Lei Ying
Finite-Time Error Bounds For Linear Stochastic Approximation and TD Learning. CoRR (2019)
Harsh Gupta, Seo Taek Kong, R. Srikant, Weina Wang
Almost Boltzmann Exploration. CoRR (2019)
Harsh Gupta, R. Srikant, Lei Ying
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning. CoRR (2019)
Harsh Gupta, Atilla Eryilmaz, R. Srikant
Link Rate Selection using Constrained Thompson Sampling. INFOCOM (2019)
Dimitrios Katselis, Carolyn L. Beck, R. Srikant
Mixing Times and Structural Inference for Bernoulli Autoregressive Processes. IEEE Trans. Netw. Sci. Eng. 6 (3) (2019)
Shiyu Liang, Ruoyu Sun, R. Srikant
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity. CoRR (2019)
R. Srikant, Lei Ying
Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning. COLT (2019)
Siddhartha Satpathi, Supratim Deb, R. Srikant, He Yan
Learning Latent Events From Network Message Logs. IEEE/ACM Trans. Netw. 27 (4) (2019)
Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant
Understanding the Loss Surface of Neural Networks for Binary Classification. CoRR (2018)
Siddhartha Satpathi, Supratim Deb, R. Srikant, He Yan
Learning Latent Events from Network Message Logs: A Decomposition Based Approach. CoRR (2018)
Shiyu Liang, Yixuan Li, R. Srikant
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks. ICLR (Poster) (2018)
Thinh T. Doan, Carolyn L. Beck, R. Srikant
On the Convergence Rate of Distributed Gradient Methods for Finite-Sum Optimization under Communication Delays. SIGMETRICS (Abstracts) (2018)
Weina Wang, Mor Harchol-Balter, Haotian Jiang, Alan Scheller-Wolf, R. Srikant
Delay Asymptotics and Bounds for Multi-Task Parallel Jobs. SIGMETRICS Perform. Evaluation Rev. 46 (3) (2018)
Yiqiu Liu, Xin Liu, Lei Ying, R. Srikant
Wireless scheduling with deadline and power constraints. CISS (2018)
Joseph Lubars, R. Srikant
Correcting the Output of Approximate Graph Matching Algorithms. INFOCOM (2018)
Shiyu Liang, Ruoyu Sun, Jason D. Lee, R. Srikant
Adding One Neuron Can Eliminate All Bad Local Minima. NeurIPS (2018)
Siva Theja Maguluri, Sai Kiran Burle, R. Srikant
Optimal heavy-traffic queue length scaling in an incompletely saturated switch. Queueing Syst. Theory Appl. 88 (3-4) (2018)
Bin Li, Aditya Ramamoorthy, R. Srikant
Mean-Field Analysis of Coding Versus Replication in Large Data Storage Systems. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3 (1) (2018)
Thinh T. Doan, Carolyn L. Beck, R. Srikant
Convergence Rate of Distributed Subgradient Methods under Communication Delays. ACC (2018)
Thinh T. Doan, Carolyn L. Beck, R. Srikant
Convergence Rate of Distributed Consensus with Nonuniform Delays. ACSSC (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

R. Srikant