A Framework for Design & Evaluation of Admission Control Algorithms in Multi-Service Mobile Networks. - Rahul Jain 002; Edward W. Knightly (INFOCOM, 1999)

Towards Coarse-Grained Mobile QoS. - Rahul Jain 002; Bahareh Sadeghi; Edward W. Knightly (WOWMOM, 1999)

Geographical routing using partial information for wireless ad hoc networks. - Rahul Jain 002; Anuj Puri; Raja Sengupta 002 (IEEE Wirel. Commun., 2001)

Control under communication constraints. - Rahul Jain 002; Tunc Simsek; Pravin Varaiya (CDC, 2002)

Combination Exchange Mechanisms for Efficient Bandwidth Allocation. - Rahul Jain 002; Pravin Varaiya (Commun. Inf. Syst., 2003)

Simulation-based uniform value function estimates of discounted and average-reward MDPs. - Rahul Jain 002; Pravin Varaiya (CDC, 2004)

PAC learning for Markov decision processes and dynamic games. - Rahul Jain 002; Pravin Varaiya (ISIT, 2004)

Scalar estimation and control with noisy binary observations. - Tunc Simsek; Rahul Jain 002; Pravin Varaiya (IEEE Trans. Autom. Control., 2004)

Efficient Market Mechanisms for Network Resource Allocation. - Rahul Jain 002; Pravin Varaiya (CDC/ECC, 2005)

Mechanisms for Efficient Allocation in Divisible Capacity Networks. - Antonis Dimakis; Rahul Jain 002; Jean C. Walrand (CDC, 2006)

Simulation-based Uniform Value Function Estimates of Markov Decision Processes. - Rahul Jain 002; Pravin Varaiya (SIAM J. Control. Optim., 2006)

Designing a strategic bipartite matching market. - Rahul Jain 002 (CDC, 2007)

N-player Bertrand-Cournot games in queues: Existence of equilibrium. - Parijat Dube; Rahul Jain 002 (Allerton, 2008)

Bertrand games between multi-class queues. - Parijat Dube; Rahul Jain 002 (CDC, 2009)

Queueing game models for differentiated services. - Parijat Dube; Rahul Jain 002 (GAMENETS, 2009)

The concert/cafeteria queueing problem: a game of arrivals. - Sandeep Juneja 001; Rahul Jain 002 (VALUETOOLS, 2009)

Strategic arrivals into queueing networks. - Harsha Honnappa; Rahul Jain 002 (Allerton, 2010)

Communication games on the generalized Gaussian relay channel. - Dileep M. Kalathil; Rahul Jain 002 (Allerton, 2010)

DiffServ pricing games in multi-class queueing network models. - Parijat Dube; Rahul Jain 002 (ITC, 2010)

A contracts-based approach for spectrum sharing among cognitive radios. - Dileep M. Kalathil; Rahul Jain 002 (WiOpt, 2010)

Simulation-based optimization of Markov decision processes: An empirical process theory approach. - Rahul Jain 002; Pravin Varaiya (Autom., 2010)

An efficient Nash-implementation mechanism for network resource allocation. - Rahul Jain 002; Jean C. Walrand (Autom., 2010)

Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards - Yi Gai; Bhaskar Krishnamachari; Rahul Jain 002 (CoRR, 2010)

Stochastic resource auctions for renewable energy integration. - Wenyuan Tang; Rahul Jain 002 (Allerton, 2011)

Hierarchical Auctions for Network Resource Allocation. - Wenyuan Tang; Rahul Jain 002 (GAMENETS, 2011)

Coalition games for transmitter cooperation in wireless networks. - Srinivas Yerramalli; Rahul Jain 002; Urbashi Mitra (ISIT, 2011)

The concert queueing game: to wait or to be late. - Rahul Jain 002; Sandeep Juneja 001; Nahum Shimkin (Discret. Event Dyn. Syst., 2011)

The A(i)/GI/l Queue: A new model of transitory queueing. - Harsha Honnappa; Rahul Jain 002; Amy R. Ward (Allerton Conference, 2012)

Multi-player multi-armed bandits: Decentralized learning with IID rewards. - Dileep M. Kalathil; Naumaan Nayyar; Rahul Jain 002 (Allerton Conference, 2012)

Characterization of equilibria for the degraded Gaussian broadcast and sum power MAC channels. - Srinivas Yerramalli; Rahul Jain 002; Urbashi Mitra (Allerton Conference, 2012)

Dominance-constrained Markov decision processes. - William B. Haskell 001; Rahul Jain 002 (CDC, 2012)

Decentralized learning for multi-player multi-armed bandits. - Dileep M. Kalathil; Naumaan Nayyar; Rahul Jain 002 (CDC, 2012)

Dynamic pricing of power in Smart-Grid networks. - Qingsi Wang; Mingyan Liu; Rahul Jain 002 (CDC, 2012)

Incentives for cooperative relaying in a simple information-theoretic model. - Dileep M. Kalathil; Rahul Jain 002 (ISIT, 2012)

A game theoretic model for the Gaussian broadcast channel. - Srinivas Yerramalli; Rahul Jain 002; Urbashi Mitra (ISIT, 2012)

A new transitory queueing model and its process limits. - Harsha Honnappa; Rahul Jain 002; Amy R. Ward (VALUETOOLS, 2012)

Network market design part I: bandwidth markets. - Rahul Jain 002 (IEEE Commun. Mag., 2012)

Δ(i)/GI/1: A New Queueing Model For Transitory Queueing Systems - Harsha Honnappa; Rahul Jain 002; Amy R. Ward (CoRR, 2012)

Mechanism Designs for Stochastic Resources for Renewable Energy Integration - Wenyuan Tang; Rahul Jain 002 (CoRR, 2012)

Coalitional Games for Transmitter Cooperation in Wireless Networks - Srinivas Yerramalli; Rahul Jain 002; Urbashi Mitra (CoRR, 2012)

Hierarchical Auction Mechanisms for Network Resource Allocation. - Wenyuan Tang; Rahul Jain 002 (IEEE J. Sel. Areas Commun., 2012)

Combinatorial Network Optimization With Unknown Variables: Multi-Armed Bandits With Linear Rewards and Individual Observations. - Yi Gai; Bhaskar Krishnamachari; Rahul Jain 002 (IEEE/ACM Trans. Netw., 2012)

Coalition formation for uplink device to device coordination with cooperation costs. - Srinivas Yerramalli; Rahul Jain 002; Urbashi Mitra (ACSSC, 2013)

Optimal decentralized control in unidirectional one-step delayed sharing pattern. - Naumaan Nayyar; Dileep M. Kalathil; Rahul Jain 002 (Allerton, 2013)

Game-theoretic analysis of the nodal pricing mechanism for electricity markets. - Wenyuan Tang; Rahul Jain 002 (CDC, 2013)

A Nash Equilibrium Need Not Exist in the Locational Marginal Pricing Mechanism. - Wenyuan Tang; Rahul Jain 002 (CoRR, 2013)

Broadcast Channel Games: Equilibrium Characterization and a MIMO MAC-BC Game Duality - Srinivas Yerramalli; Rahul Jain 002; Urbashi Mitra (CoRR, 2013)

Stochastic Dominance-Constrained Markov Decision Processes. - William B. Haskell 001; Rahul Jain 002 (SIAM J. Control. Optim., 2013)

Spectrum Sharing through Contracts for Cognitive Radios. - Dileep M. Kalathil; Rahul Jain 002 (IEEE Trans. Mob. Comput., 2013)

Dynamic economic dispatch among strategic generators with storage systems. - Wenyuan Tang; Rahul Jain 002 (Allerton, 2014)

Empirical Value Iteration for approximate dynamic programming. - William B. Haskell 001; Rahul Jain 002; Dileep M. Kalathil (ACC, 2014)

Optimal decentralized control in unidirectional one-step delayed sharing pattern with partial output feedback. - Naumaan Nayyar; Dileep M. Kalathil; Rahul Jain 002 (ACC, 2014)

Empirical policy iteration for approximate dynamic programming. - William B. Haskell 001; Rahul Jain 002; Dileep M. Kalathil (CDC, 2014)

Mean field limits by population acceleration. - Harsha Honnappa; Rahul Jain 002; Amy R. Ward (CDC, 2014)

Blackwell's approachability in stackelberg stochastic games: A learning version. - Dileep M. Kalathil; Vivek S. Borkar; Rahul Jain 002 (CDC, 2014)

Stochastic dynamic pricing: Utilizing demand response in an adaptive manner. - Wenyuan Tang; Rahul Jain 002; Ram Rajagopal (CDC, 2014)

Buying random yet correlated wind power. - Wenyuan Tang; Rahul Jain 002 (SmartGridComm, 2014)

Bertrand equilibria and efficiency in markets for congestible network services. - Parijat Dube; Rahul Jain 002 (Autom., 2014)

On Transitory Queueing. - Harsha Honnappa; Rahul Jain 002; Amy R. Ward (CoRR, 2014)

A Learning Scheme for Approachability in MDPs and Stackelberg Stochastic Games. - Dileep M. Kalathil; Vivek S. Borkar; Rahul Jain 002 (CoRR, 2014)

Empirical Q-Value Iteration. - Dileep M. Kalathil; Vivek S. Borkar; Rahul Jain 002 (CoRR, 2014)

Risk-Constrained Markov Decision Processes. - Vivek S. Borkar; Rahul Jain 002 (IEEE Trans. Autom. Control., 2014)

Decentralized Learning for Multiplayer Multiarmed Bandits. - Dileep M. Kalathil; Naumaan Nayyar; Rahul Jain 002 (IEEE Trans. Inf. Theory, 2014)

Coalitional Games for Transmitter Cooperation in MIMO Multiple Access Channels. - Srinivas Yerramalli; Rahul Jain 002; Urbashi Mitra (IEEE Trans. Signal Process., 2014)

Scheduling, pricing, and efficiency of non-preemptive flexible loads under direct load control. - Abhishek Gupta 002; Rahul Jain 002; Ram Rajagopal (Allerton, 2015)

An empirical algorithm for relative value iteration for average-cost MDPs. - Abhishek Gupta 002; Rahul Jain 002; Peter W. Glynn (CDC, 2015)

Equilibria in two-stage electricity markets. - Abhishek Gupta 002; Rahul Jain 002; Kameshwar Poolla; Pravin Varaiya (CDC, 2015)

Pricing sequential forward power contracts. - Wenyuan Tang; Junjie Qin; Rahul Jain 002; Ram Rajagopal (SmartGridComm, 2015)

On Regret-Optimal Learning in Decentralized Multi-player Multi-armed Bandits. - Naumaan Nayyar; Dileep M. Kalathil; Rahul Jain 002 (CoRR, 2015)

Strategic Arrivals into Queueing Networks: The Network Concert Queueing Game. - Harsha Honnappa; Rahul Jain 002 (Oper. Res., 2015)

A queueing model with independent arrivals, and its fluid and diffusion limits. - Harsha Honnappa; Rahul Jain 002; Amy R. Ward (Queueing Syst. Theory Appl., 2015)

A Convex Analytic Approach to Risk-Aware Markov Decision Processes. - William B. Haskell 001; Rahul Jain 002 (SIAM J. Control. Optim., 2015)

On the existence of near-optimal fixed time control of traffic intersection signals. - Yi Ouyang 002; Rahul Jain 002; Pravin Varaiya (Allerton, 2016)

A dynamical systems framework for stochastic iterative optimization. - William B. Haskell 001; Rahul Jain 002; Hiteshi Sharma (CDC, 2016)

Empirical Dynamic Programming. - William B. Haskell 001; Rahul Jain 002; Dileep M. Kalathil (Math. Oper. Res., 2016)

Dynamic Economic Dispatch Game: The Value of Storage. - Wenyuan Tang; Rahul Jain 002 (IEEE Trans. Smart Grid, 2016)

Inexact iteration of averaged operators for non-strongly convex stochastic optimization. - William B. Haskell 001; Rahul Jain 002 (Allerton, 2017)

Control of unknown linear systems with Thompson sampling. - Yi Ouyang 002; Mukul Gagrani; Rahul Jain 002 (Allerton, 2017)

A random monotone operator framework for strongly convex stochastic optimization. - William B. Haskell 001; Rahul Jain 002 (CDC, 2017)

Randomized function fitting-based empirical value iteration. - William B. Haskell 001; Pengqian Yu; Hiteshi Sharma; Rahul Jain 002 (CDC, 2017)

Learning Unknown Markov Decision Processes: A Thompson Sampling Approach. - Yi Ouyang 002; Mukul Gagrani; Ashutosh Nayyar; Rahul Jain 002 (NIPS, 2017)

Learning-based Control of Unknown Linear Systems with Thompson Sampling. - Yi Ouyang 002; Mukul Gagrani; Rahul Jain 002 (CoRR, 2017)

Approachability in Stackelberg Stochastic Games with Vector Costs. - Dileep M. Kalathil; Vivek S. Borkar; Rahul Jain 002 (Dyn. Games Appl., 2017)

Dynamic Economic Dispatch and Price Evolution under Ramping Constraints and Uncertain Demand. - Abhishek K. Gupta; Balsam Dakhil; Rahul Jain 002 (Allerton, 2018)

A Fixed Point Theorem for Iterative Random Contraction Operators over Banach Spaces. - Abhishek K. Gupta; Rahul Jain 002; Peter W. Glynn (CoRR, 2018)

A Two Stage Mechanism For Selling Random Power. - Nathan Dahlin; Rahul Jain 002 (CoRR, 2018)

On Regret-Optimal Learning in Decentralized Multiplayer Multiarmed Bandits. - Naumaan Nayyar; Dileep M. Kalathil; Rahul Jain 002 (IEEE Trans. Control. Netw. Syst., 2018)

Optimal Decentralized Control With Asymmetric One-Step Delayed Information Sharing. - Naumaan Nayyar; Dileep M. Kalathil; Rahul Jain 002 (IEEE Trans. Control. Netw. Syst., 2018)

Aggregating Correlated Wind Power With Full Surplus Extraction. - Wenyuan Tang; Rahul Jain 002 (IEEE Trans. Smart Grid, 2018)

An Approximately Optimal Relative Value Learning Algorithm for Averaged MDPs with Continuous States and Actions. - Hiteshi Sharma; Rahul Jain 002 (Allerton, 2019)

A Two Stage Stochastic Mechanism for Selling Random Power. - Nathan Dahlin; Rahul Jain 002 (ACC, 2019)

A Two-Stage Market Mechanism for Electricity with Renewable Generation. - Nathan Dahlin; Rahul Jain 002 (CDC, 2019)

Empirical Algorithms for General Stochastic Systems with Continuous States and Actions. - Hiteshi Sharma; Rahul Jain 002; William B. Haskell 001 (CDC, 2019)

An Empirical Relative Value Learning Algorithm for Non-parametric MDPs with Continuous State Space. - Hiteshi Sharma; Rahul Jain 002; Abhishek K. Gupta (ECC, 2019)

Approximate Relative Value Learning for Average-reward Continuous State MDPs. - Hiteshi Sharma; Mehdi Jafarnia-Jahromi; Rahul Jain 002 (UAI, 2019)

A Risk Aware Two-Stage Market Mechanism for Electricity with Renewable Generation. - Nathan Dahlin; Rahul Jain 002 (ACC, 2020)

Scheduling of Flexible Non-Preemptive Loads. - Nathan Dahlin; Rahul Jain 002 (CDC, 2020)

Finite Time Guarantees for Continuous State MDPs with Generative Model. - Hiteshi Sharma; Rahul Jain 002 (CDC, 2020)

Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes. - Chen-Yu Wei; Mehdi Jafarnia-Jahromi; Haipeng Luo; Hiteshi Sharma; Rahul Jain 002 (ICML, 2020)

Non-indexability of the stochastic appointment scheduling problem. - Mehdi Jafarnia-Jahromi; Rahul Jain 002 (Autom., 2020)

Randomized Policy Learning for Continuous State and Action MDPs. - Hiteshi Sharma; Rahul Jain 002 (CoRR, 2020)

Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees. - Nathan Dahlin; Krishna Chaitanya Kalagarla; Nikhil Naik 001; Rahul Jain 002; Pierluigi Nuzzo 002 (CoRR, 2020)

Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications. - Krishna Chaitanya Kalagarla; Rahul Jain 002; Pierluigi Nuzzo 002 (CoRR, 2020)

A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs. - William B. Haskell 001; Rahul Jain 002; Hiteshi Sharma; Pengqian Yu (IEEE Trans. Autom. Control., 2020)

Posterior Sampling-Based Reinforcement Learning for Control of Unknown Linear Systems. - Yi Ouyang 002; Mukul Gagrani; Rahul Jain 002 (IEEE Trans. Autom. Control., 2020)

A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. - Krishna Chaitanya Kalagarla; Rahul Jain 002; Pierluigi Nuzzo 002 (AAAI, 2021)

Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation. - Chen-Yu Wei; Mehdi Jafarnia-Jahromi; Haipeng Luo; Rahul Jain 002 (AISTATS, 2021)

Optimal Control of Discounted-Reward Markov Decision Processes Under Linear Temporal Logic Specifications. - Krishna Chaitanya Kalagarla; Rahul Jain 002; Pierluigi Nuzzo 002 (ACC, 2021)

Model-Free Reinforcement Learning for Optimal Control of Markov Decision Processes Under Signal Temporal Logic Specifications. - Krishna Chaitanya Kalagarla; Rahul Jain 002; Pierluigi Nuzzo 002 (CDC, 2021)

Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. - Liyu Chen; Mehdi Jafarnia-Jahromi; Rahul Jain 002; Haipeng Luo (NeurIPS, 2021)

Optimal communication and control strategies in a multi-agent MDP problem. - Sagar Sudhakara; Dhruva Kartik; Rahul Jain 002; Ashutosh Nayyar (CoRR, 2021)

Online Learning for Stochastic Shortest Path Model via Posterior Sampling. - Mehdi Jafarnia-Jahromi; Liyu Chen; Rahul Jain 002; Haipeng Luo (CoRR, 2021)

Learning Zero-sum Stochastic Games with Posterior Sampling. - Mehdi Jafarnia-Jahromi; Rahul Jain 002; Ashutosh Nayyar (CoRR, 2021)

Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications. - Krishna Chaitanya Kalagarla; Rahul Jain 002; Pierluigi Nuzzo 002 (CoRR, 2021)

Online Learning for Unknown Partially Observable MDPs. - Mehdi Jafarnia-Jahromi; Rahul Jain 002; Ashutosh Nayyar (AISTATS, 2022)

Practical Control Design for the Deep Learning Age: Distillation of Deep RL-Based Controllers. - Nathan Dahlin; Kevin Chang 007; Krishna Chaitanya Kalagarla; Rahul Jain 002; Pierluigi Nuzzo 002 (Allerton, 2022)

Online Learning for Cooperative Multi-Player Multi-Armed Bandits. - William Chang; Mehdi Jafarnia-Jahromi; Rahul Jain 002 (CDC, 2022)

Optimal Communication and Control Strategies for a Multi-Agent System in the Presence of an Adversary. - Dhruva Kartik; Sagar Sudhakara; Rahul Jain 002; Ashutosh Nayyar (CDC, 2022)

Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. - Liyu Chen; Rahul Jain 002; Haipeng Luo (ICML, 2022)

Learning Infinite-horizon Average-reward Markov Decision Process with Constraints. - Liyu Chen; Rahul Jain 002; Haipeng Luo (ICML, 2022)

Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints. - Krishna Chaitanya Kalagarla; Dhruva Kartik; Dongming Shen; Rahul Jain 002; Ashutosh Nayyar; Pierluigi Nuzzo 002 (UAI, 2022)

Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints. - Liyu Chen; Rahul Jain 002; Haipeng Luo (CoRR, 2022)

New directions in learning and control of stochastic networks. - Rahul Jain 002; Vijay Kamble (Queueing Syst. Theory Appl., 2022)

Scheduling Flexible Nonpreemptive Loads in Smart-Grid Networks. - Nathan Dahlin; Rahul Jain 002 (IEEE Trans. Control. Netw. Syst., 2022)

Two-Stage Electricity Markets With Renewable Energy Integration: Market Mechanisms and Equilibrium Analysis. - Nathan Dahlin; Rahul Jain 002 (IEEE Trans. Control. Netw. Syst., 2022)

Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers. - Kevin Chang 007; Nathan Dahlin; Rahul Jain 002; Pierluigi Nuzzo 002 (CDC, 2023)

A Novel Point-Based Algorithm for Multi-Agent Control Using the Common Information Approach. - Dengwang Tang; Ashutosh Nayyar; Rahul Jain 002 (CDC, 2023)

Leveraging Demonstrations to Improve Online Learning: Quality Matters. - Botao Hao; Rahul Jain 002; Tor Lattimore; Benjamin Van Roy; Zheng Wen 002 (ICML, 2023)

Posterior sampling-based online learning for the stochastic shortest path model. - Mehdi Jafarnia-Jahromi; Liyu Chen; Rahul Jain 002; Haipeng Luo (UAI, 2023)

Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation. - Krishna Chaitanya Kalagarla; Rahul Jain 002; Pierluigi Nuzzo 002 (CoRR, 2023)

Average-Constrained Policy Optimization. - Akhil Agnihotri; Rahul Jain 002; Haipeng Luo (CoRR, 2023)

Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes. - Krishna Chaitanya Kalagarla; Dhruva Kartik; Dongming Shen; Rahul Jain 002; Ashutosh Nayyar; Pierluigi Nuzzo 002 (CoRR, 2023)

Regret Analysis of the Posterior Sampling-based Learning Algorithm for Episodic POMDPs. - Dengwang Tang; Rahul Jain 002; Ashutosh Nayyar; Pierluigi Nuzzo 002 (CoRR, 2023)

Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach. - Dengwang Tang; Rahul Jain 002; Botao Hao; Zheng Wen 002 (CoRR, 2023)

Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale. - Botao Hao; Rahul Jain 002; Dengwang Tang; Zheng Wen 002 (Trans. Mach. Learn. Res., 2023)

A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent. - Mehdi Jafarnia-Jahromi; Rahul Jain 002; Ashutosh Nayyar (AISTATS, 2024)

Compositional Planning for Logically Constrained Multi-Agent Markov Decision Processes. - Krishna Chaitanya Kalagarla; Matthew Low; Rahul Jain 002; Ashutosh Nayyar; Pierluigi Nuzzo 002 (CDC, 2024)

ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints. - Akhil Agnihotri; Rahul Jain 002; Haipeng Luo (ICML, 2024)

e-COP : Episodic Constrained Optimization of Policies. - Akhil Agnihotri; Rahul Jain 002; Deepak Ramachandran; Sahil Singla 005 (NeurIPS, 2024)

Pure Exploration for Constrained Best Mixed Arm Identification with a Fixed Budget. - Dengwang Tang; Rahul Jain 002; Ashutosh Nayyar; Pierluigi Nuzzo 002 (CoRR, 2024)

Online Bandit Learning with Offline Preference Data. - Akhil Agnihotri; Rahul Jain 002; Deepak Ramachandran; Zheng Wen 002 (CoRR, 2024)

Probabilistic Contraction Analysis of Iterated Random Operators. - Abhishek Gupta 002; Rahul Jain 002; Peter W. Glynn (IEEE Trans. Autom. Control., 2024)

Optimal Communication and Control Strategies in a Cooperative Multiagent MDP Problem. - Sagar Sudhakara; Dhruva Kartik; Rahul Jain 002; Ashutosh Nayyar (IEEE Trans. Autom. Control., 2024)

Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning. - Rishabh Agrawal; Nathan Dahlin; Rahul Jain 002; Ashutosh Nayyar (AAAI, 2025)

A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation. - Krishna Chaitanya Kalagarla; Rahul Jain 002; Pierluigi Nuzzo 002 (AISTATS, 2025)

Conditional Kernel Imitation Learning for Continuous State Environments. - Rishabh Agrawal; Nathan Dahlin; Rahul Jain 002; Ashutosh Nayyar (L4DC, 2025)

Best Policy Learning from Trajectory Preference Feedback. - Akhil Agnihotri; Rahul Jain 002; Deepak Ramachandran; Zheng Wen 002 (CoRR, 2025)

Optimal Control of Logically Constrained Partially Observable and Multiagent Markov Decision Processes. - Krishna Chaitanya Kalagarla; Dhruva Kartik; Dongming Shen; Rahul Jain 002; Ashutosh Nayyar; Pierluigi Nuzzo 002 (IEEE Trans. Autom. Control., 2025)

Distributionally Robust Direct Preference Optimization. - Zaiyan Xu; Sushil Vemuri; Kishan Panaganti; Dileep Kalathil; Rahul Jain 002; Deepak Ramachandran (CoRR, 2025)

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models. - Akhil Agnihotri; Rahul Jain 002; Deepak Ramachandran; Zheng Wen 002 (CoRR, 2025)