Rahul Jain

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 81

Top Venues

Publications

Dengwang Tang, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo
Pure Exploration for Constrained Best Mixed Arm Identification with a Fixed Budget. CoRR (2024)
Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Zheng Wen
Online Bandit Learning with Offline Preference Data. CoRR (2024)
Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Sahil Singla
e-COP : Episodic Constrained Optimization of Policies. CoRR (2024)
Dengwang Tang, Rahul Jain, Botao Hao, Zheng Wen
Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach. CoRR (2023)
Kevin Chang, Nathan Dahlin, Rahul Jain, Pierluigi Nuzzo
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers. CoRR (2023)
Krishna Chaitanya Kalagarla, Dhruva Kartik, Dongming Shen, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo
Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes. CoRR (2023)
Kevin Chang, Nathan Dahlin, Rahul Jain, Pierluigi Nuzzo
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers. CDC (2023)
Botao Hao, Rahul Jain, Dengwang Tang, Zheng Wen
Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale. Trans. Mach. Learn. Res. 2023 (2023)
Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo
Posterior sampling-based online learning for the stochastic shortest path model. UAI (2023)
Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar
Conditional Kernel Imitation Learning for Continuous State Environments. CoRR (2023)
Akhil Agnihotri, Rahul Jain, Haipeng Luo
Average-Constrained Policy Optimization. CoRR (2023)
Dengwang Tang, Ashutosh Nayyar, Rahul Jain
A Novel Point-Based Algorithm for Multi-Agent Control Using the Common Information Approach. CDC (2023)
Dengwang Tang, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo
Regret Analysis of the Posterior Sampling-based Learning Algorithm for Episodic POMDPs. CoRR (2023)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation. CoRR (2023)
Liyu Chen, Rahul Jain, Haipeng Luo
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints. ICML (2022)
Krishna Chaitanya Kalagarla, Kartik Dhruva, Dongming Shen, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo
Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints. UAI (2022)
Krishna Chaitanya Kalagarla, Dhruva Kartik, Dongming Shen, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo
Optimal Control of Partially Observable Markov Decision Processes with Finite Linear Temporal Logic Constraints. CoRR (2022)
Nathan Dahlin, Rahul Jain
Scheduling Flexible Nonpreemptive Loads in Smart-Grid Networks. IEEE Trans. Control. Netw. Syst. 9 (1) (2022)
Liyu Chen, Rahul Jain, Haipeng Luo
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints. CoRR (2022)
Nathan Dahlin, Rahul Jain
Two-Stage Electricity Markets With Renewable Energy Integration: Market Mechanisms and Equilibrium Analysis. IEEE Trans. Control. Netw. Syst. 9 (2) (2022)
Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar
Online Learning for Unknown Partially Observable MDPs. AISTATS (2022)
Dhruva Kartik, Sagar Sudhakara, Rahul Jain, Ashutosh Nayyar
Optimal Communication and Control Strategies for a Multi-Agent System in the Presence of an Adversary. CDC (2022)
Liyu Chen, Rahul Jain, Haipeng Luo
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. ICML (2022)
Dhruva Kartik, Sagar Sudhakara, Rahul Jain, Ashutosh Nayyar
Optimal Communication and Control Strategies for a Multi-Agent System in the Presence of an Adversary. CoRR (2022)
Nathan Dahlin, Kevin Chang, Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers. Allerton (2022)
Rahul Jain, Vijay Kamble
New directions in learning and control of stochastic networks. Queueing Syst. Theory Appl. 100 (1-2) (2022)
William Chang, Mehdi Jafarnia-Jahromi, Rahul Jain
Online Learning for Cooperative Multi-Player Multi-Armed Bandits. CDC (2022)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Model-Free Reinforcement Learning for Optimal Control of Markov Decision Processes Under Signal Temporal Logic Specifications. CDC (2021)
Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar
Online Learning for Unknown Partially Observable MDPs. CoRR (2021)
Liyu Chen, Rahul Jain, Haipeng Luo
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. CoRR (2021)
Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo
Online Learning for Stochastic Shortest Path Model via Posterior Sampling. CoRR (2021)
Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. NeurIPS (2021)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications. CoRR (2021)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Optimal Control of Discounted-Reward Markov Decision Processes Under Linear Temporal Logic Specifications. ACC (2021)
William Chang, Mehdi Jafarnia-Jahromi, Rahul Jain
Online Learning for Cooperative Multi-Player Multi-Armed Bandits. CoRR (2021)
Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Rahul Jain
Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation. AISTATS (2021)
Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar
Learning Zero-sum Stochastic Games with Posterior Sampling. CoRR (2021)
Sagar Sudhakara, Dhruva Kartik, Rahul Jain, Ashutosh Nayyar
Optimal communication and control strategies in a multi-agent MDP problem. CoRR (2021)
Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. CoRR (2021)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. AAAI (2021)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications. CoRR (2020)
Nathan Dahlin, Rahul Jain
Scheduling of Flexible Non-Preemptive Loads. CoRR (2020)
Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. CoRR (2020)
Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Rahul Jain
Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation. CoRR (2020)
Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes. ICML (2020)
Nathan Dahlin, Rahul Jain
A Risk Aware Two-Stage Market Mechanism for Electricity with Renewable Generation. CoRR (2020)
William B. Haskell, Rahul Jain, Hiteshi Sharma, Pengqian Yu
A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs. IEEE Trans. Autom. Control. 65 (1) (2020)
Mehdi Jafarnia-Jahromi, Chen-Yu Wei, Rahul Jain, Haipeng Luo
A Model-free Learning Algorithm for Infinite-horizon Average-reward MDPs with Near-optimal Regret. CoRR (2020)
Mehdi Jafarnia-Jahromi, Rahul Jain
Non-indexability of the stochastic appointment scheduling problem. Autom. 118 (2020)
Hiteshi Sharma, Rahul Jain
Randomized Policy Learning for Continuous State and Action MDPs. CoRR (2020)
Nathan Dahlin, Krishna Chaitanya Kalagarla, Nikhil Naik, Rahul Jain, Pierluigi Nuzzo
Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees. CoRR (2020)
Yi Ouyang, Mukul Gagrani, Rahul Jain
Posterior Sampling-Based Reinforcement Learning for Control of Unknown Linear Systems. IEEE Trans. Autom. Control. 65 (8) (2020)
Hiteshi Sharma, Rahul Jain
Finite Time Guarantees for Continuous State MDPs with Generative Model. CDC (2020)
Nathan Dahlin, Rahul Jain
A Risk Aware Two-Stage Market Mechanism for Electricity with Renewable Generation. ACC (2020)
Nathan Dahlin, Rahul Jain
Scheduling of Flexible Non-Preemptive Loads. CDC (2020)
Nathan Dahlin, Rahul Jain
A Two-Stage Market Mechanism for Electricity with Renewable Generation. CDC (2019)
Hiteshi Sharma, Rahul Jain, William B. Haskell
Empirical Algorithms for General Stochastic Systems with Continuous States and Actions. CDC (2019)
Hiteshi Sharma, Rahul Jain
An Approximately Optimal Relative Value Learning Algorithm for Averaged MDPs with Continuous States and Actions. Allerton (2019)
Nathan Dahlin, Rahul Jain
A Two Stage Stochastic Mechanism for Selling Random Power. ACC (2019)
Hiteshi Sharma, Rahul Jain, Abhishek K. Gupta
An Empirical Relative Value Learning Algorithm for Non-parametric MDPs with Continuous State Space. ECC (2019)
Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Hiteshi Sharma, Rahul Jain
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes. CoRR (2019)
Hiteshi Sharma, Mehdi Jafarnia-Jahromi, Rahul Jain
Approximate Relative Value Learning for Average-reward Continuous State MDPs. UAI (2019)
Nathan Dahlin, Rahul Jain
A Two-Stage Market Mechanism for Electricity with Renewable Generation. CoRR (2019)
Nathan Dahlin, Rahul Jain
A Two Stage Mechanism For Selling Random Power. CoRR (2018)
Wenyuan Tang, Rahul Jain
Aggregating Correlated Wind Power With Full Surplus Extraction. IEEE Trans. Smart Grid 9 (6) (2018)
Abhishek K. Gupta, Rahul Jain, Peter W. Glynn
A Fixed Point Theorem for Iterative Random Contraction Operators over Banach Spaces. CoRR (2018)
Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain
On Regret-Optimal Learning in Decentralized Multiplayer Multiarmed Bandits. IEEE Trans. Control. Netw. Syst. 5 (1) (2018)
Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain
Optimal Decentralized Control With Asymmetric One-Step Delayed Information Sharing. IEEE Trans. Control. Netw. Syst. 5 (1) (2018)
Abhishek K. Gupta, Balsam Dakhil, Rahul Jain
Dynamic Economic Dispatch and Price Evolution under Ramping Constraints and Uncertain Demand. Allerton (2018)
Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar, Rahul Jain
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach. CoRR (2017)
Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar, Rahul Jain
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach. NIPS (2017)
Yi Ouyang, Mukul Gagrani, Rahul Jain
Control of unknown linear systems with Thompson sampling. Allerton (2017)
Yi Ouyang, Mukul Gagrani, Rahul Jain
Learning-based Control of Unknown Linear Systems with Thompson Sampling. CoRR (2017)
William B. Haskell, Rahul Jain
A random monotone operator framework for strongly convex stochastic optimization. CDC (2017)
William B. Haskell, Pengqian Yu, Hiteshi Sharma, Rahul Jain
Randomized function fitting-based empirical value iteration. CDC (2017)
Dileep M. Kalathil, Vivek S. Borkar, Rahul Jain
Approachability in Stackelberg Stochastic Games with Vector Costs. Dyn. Games Appl. 7 (3) (2017)
William B. Haskell, Rahul Jain
Inexact iteration of averaged operators for non-strongly convex stochastic optimization. Allerton (2017)
Wenyuan Tang, Rahul Jain
Dynamic Economic Dispatch Game: The Value of Storage. IEEE Trans. Smart Grid 7 (5) (2016)
William B. Haskell, Rahul Jain, Hiteshi Sharma
A dynamical systems framework for stochastic iterative optimization. CDC (2016)
William B. Haskell, Rahul Jain, Dileep M. Kalathil
Empirical Dynamic Programming. Math. Oper. Res. 41 (2) (2016)
Yi Ouyang, Rahul Jain, Pravin Varaiya
On the existence of near-optimal fixed time control of traffic intersection signals. Allerton (2016)
Abhishek Gupta, Rahul Jain, Kameshwar Poolla, Pravin Varaiya
Equilibria in two-stage electricity markets. CDC (2015)
Abhishek Gupta, Rahul Jain, Peter W. Glynn
An empirical algorithm for relative value iteration for average-cost MDPs. CDC (2015)
Harsha Honnappa, Rahul Jain, Amy R. Ward
A queueing model with independent arrivals, and its fluid and diffusion limits. Queueing Syst. Theory Appl. 80 (1-2) (2015)
William B. Haskell, Rahul Jain
A Convex Analytic Approach to Risk-Aware Markov Decision Processes. SIAM J. Control. Optim. 53 (3) (2015)
Wenyuan Tang, Junjie Qin, Rahul Jain, Ram Rajagopal
Pricing sequential forward power contracts. SmartGridComm (2015)
Abhishek Gupta, Rahul Jain, Ram Rajagopal
Scheduling, pricing, and efficiency of non-preemptive flexible loads under direct load control. Allerton (2015)
Harsha Honnappa, Rahul Jain
Strategic Arrivals into Queueing Networks: The Network Concert Queueing Game. Oper. Res. 63 (1) (2015)
Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain
On Regret-Optimal Learning in Decentralized Multi-player Multi-armed Bandits. CoRR (2015)
Parijat Dube, Rahul Jain
Bertrand equilibria and efficiency in markets for congestible network services. Autom. 50 (3) (2014)
Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain
Optimal decentralized control in unidirectional one-step delayed sharing pattern with partial output feedback. ACC (2014)
William B. Haskell, Rahul Jain, Dileep M. Kalathil
Empirical policy iteration for approximate dynamic programming. CDC (2014)
Dileep M. Kalathil, Vivek S. Borkar, Rahul Jain
Blackwell's approachability in stackelberg stochastic games: A learning version. CDC (2014)
Dileep M. Kalathil, Vivek S. Borkar, Rahul Jain
A Learning Scheme for Approachability in MDPs and Stackelberg Stochastic Games. CoRR (2014)
Srinivas Yerramalli, Rahul Jain, Urbashi Mitra
Coalitional Games for Transmitter Cooperation in MIMO Multiple Access Channels. IEEE Trans. Signal Process. 62 (4) (2014)
Wenyuan Tang, Rahul Jain, Ram Rajagopal
Stochastic dynamic pricing: Utilizing demand response in an adaptive manner. CDC (2014)
Harsha Honnappa, Rahul Jain, Amy R. Ward
Mean field limits by population acceleration. CDC (2014)
Harsha Honnappa, Rahul Jain, Amy R. Ward
On Transitory Queueing. CoRR (2014)
William B. Haskell, Rahul Jain, Dileep M. Kalathil
Empirical Value Iteration for approximate dynamic programming. ACC (2014)
Wenyuan Tang, Rahul Jain
Dynamic economic dispatch among strategic generators with storage systems. Allerton (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rahul Jain