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ORCIDRahul Jain 0002
Person information
- affiliation: University of Southern California, Los Angeles, CA, USA
- affiliation (PhD 2004): University of California, Department of Electical Engineering and Computer Science, Berkeley, CA, USA
- affiliation (MS 1999): Rice University, Department of Electrical and Computer Engineering, Houston, TX, USA
Other persons with the same name
- Rahul Jain — disambiguation page
- Rahul Jain 0001
![[0000-0002-3649-6576]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3649-6576")
— National University of Singapore, Centre for Quantum Technologies (CQT), Singapore (and 2 more) - Rahul Jain 0003 — Indian Institute of Technology Kharagpur, India
- Rahul Jain 0004 — Indian Institute of Technology Delhi
- Rahul Jain 0006 — IBM, San Francisco, USA (and 1 more)
- Rahul Jain 0007 — Deep Impact, Winterthur, Switzerland (and 1 more)
- Rahul Jain 0008 — IIIT-Hyderabad, Center for Visual Information Technology, India
- Rahul Jain 0009 — Numerify, Bangalore, India (and 1 more)
- Rahul Jain 0010 — Indian Institute of Science, TIFR Centre, Bangalore, India
- Rahul Jain 0011 — New Jersey Institute of Technology, Newark, NJ, USA
- Rahul Jain 0012 — Indian Institute of Technology, Roorkee, India
- Rahul Jain 0013 — Hindustan Institute of Technology and Management, Agra, India
- Rahul Jain 0014 — University of Iowa, Iowa City, IA, USA
- Rahul Jain 0015 — Indian Institute of Technology Kanpur, India
- Rahul Jain 0016 — Maulana Azad National Institute of Technology, Bhopal, India (and 1 more)
- Rahul Jain 0017 — National Institute of Technology, NIT, Speech and Image Processing Group, Electronics and Communication Engineering Department, Silchar, India
- Rahul Jain 0018 — Purdue University, West Lafayette, IN, USA
- Rahul Jain 0019 — Rajasthan Technical University, Department of Mechanical Engineering, Kota, Rajasthan, India
- Rahul Jain 0020 — Goldman Sachs, Bangalore
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2020 – today
- 2024
[j34]Abhishek Gupta, Rahul Jain, Peter W. Glynn:
Probabilistic Contraction Analysis of Iterated Random Operators. IEEE Trans. Autom. Control. 69(9): 5947-5962 (2024)- [j33]Sagar Sudhakara, Dhruva Kartik, Rahul Jain, Ashutosh Nayyar:
Optimal Communication and Control Strategies in a Cooperative Multiagent MDP Problem. IEEE Trans. Autom. Control. 69(10): 6959-6966 (2024) - [c80]Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar:
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent. AISTATS 2024: 3880-3888 - [c79]Akhil Agnihotri, Rahul Jain, Haipeng Luo:
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints. ICML 2024 - [i53]Dengwang Tang, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo:
Pure Exploration for Constrained Best Mixed Arm Identification with a Fixed Budget. CoRR abs/2405.15090 (2024) - [i52]Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Sahil Singla:
e-COP : Episodic Constrained Optimization of Policies. CoRR abs/2406.09563 (2024) - [i51]Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Zheng Wen:
Online Bandit Learning with Offline Preference Data. CoRR abs/2406.09574 (2024) - [i50]Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar:
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning. CoRR abs/2408.09125 (2024) - [i49]Krishna Chaitanya Kalagarla, Matthew Low, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo:
Compositional Planning for Logically Constrained Multi-Agent Markov Decision Processes. CoRR abs/2410.04004 (2024) - 2023
- [j32]Botao Hao, Rahul Jain, Dengwang Tang, Zheng Wen:
Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale. Trans. Mach. Learn. Res. 2023 (2023) - [c78]Dengwang Tang, Ashutosh Nayyar, Rahul Jain:
A Novel Point-Based Algorithm for Multi-Agent Control Using the Common Information Approach. CDC 2023: 1432-1437 - [c77]Kevin Chang, Nathan Dahlin, Rahul Jain, Pierluigi Nuzzo:
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers. CDC 2023: 7843-7848 - [c76]Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen:
Leveraging Demonstrations to Improve Online Learning: Quality Matters. ICML 2023: 12527-12545 - [c75]Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo:
Posterior sampling-based online learning for the stochastic shortest path model. UAI 2023: 922-931 - [i48]Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation. CoRR abs/2301.11547 (2023) - [i47]Akhil Agnihotri, Rahul Jain, Haipeng Luo:
Average-Constrained Policy Optimization. CoRR abs/2302.00808 (2023) - [i46]Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen:
Leveraging Demonstrations to Improve Online Learning: Quality Matters. CoRR abs/2302.03319 (2023) - [i45]Botao Hao, Rahul Jain, Dengwang Tang, Zheng Wen:
Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale. CoRR abs/2303.11369 (2023) - [i44]Dengwang Tang, Ashutosh Nayyar, Rahul Jain:
A Novel Point-based Algorithm for Multi-agent Control Using the Common Information Approach. CoRR abs/2304.04346 (2023) - [i43]Kevin Chang, Nathan Dahlin, Rahul Jain, Pierluigi Nuzzo:
Exact and Cost-Effective Automated Transformation of Neural Network Controllers to Decision Tree Controllers. CoRR abs/2304.06049 (2023) - [i42]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 abs/2305.14736 (2023) - [i41]Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar:
Conditional Kernel Imitation Learning for Continuous State Environments. CoRR abs/2308.12573 (2023) - [i40]Dengwang Tang, Rahul Jain, Ashutosh Nayyar, Pierluigi Nuzzo:
Regret Analysis of the Posterior Sampling-based Learning Algorithm for Episodic POMDPs. CoRR abs/2310.10107 (2023) - [i39]Dengwang Tang, Rahul Jain, Botao Hao, Zheng Wen:
Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach. CoRR abs/2310.11531 (2023) - 2022
- [j31]Rahul Jain, Vijay Kamble:
New directions in learning and control of stochastic networks. Queueing Syst. Theory Appl. 100(1-2): 133-134 (2022) - [j30]Nathan Dahlin, Rahul Jain:
Scheduling Flexible Nonpreemptive Loads in Smart-Grid Networks. IEEE Trans. Control. Netw. Syst. 9(1): 14-24 (2022) - [j29]Nathan Dahlin, Rahul Jain:
Two-Stage Electricity Markets With Renewable Energy Integration: Market Mechanisms and Equilibrium Analysis. IEEE Trans. Control. Netw. Syst. 9(2): 823-834 (2022) - [c74]Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar:
Online Learning for Unknown Partially Observable MDPs. AISTATS 2022: 1712-1732 - [c73]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: 1-8 - [c72]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: 4155-4160 - [c71]William Chang, Mehdi Jafarnia-Jahromi, Rahul Jain:
Online Learning for Cooperative Multi-Player Multi-Armed Bandits. CDC 2022: 7248-7253 - [c70]Liyu Chen, Rahul Jain, Haipeng Luo:
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. ICML 2022: 3204-3245 - [c69]Liyu Chen, Rahul Jain, Haipeng Luo:
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints. ICML 2022: 3246-3270 - [c68]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: 949-958 - [i38]Liyu Chen, Rahul Jain, Haipeng Luo:
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints. CoRR abs/2202.00150 (2022) - [i37]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 abs/2203.09038 (2022) - [i36]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 abs/2209.03888 (2022) - 2021
- [c67]Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. AAAI 2021: 8030-8037 - [c66]Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Rahul Jain:
Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation. AISTATS 2021: 3007-3015 - [c65]Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
Optimal Control of Discounted-Reward Markov Decision Processes Under Linear Temporal Logic Specifications. ACC 2021: 1268-1274 - [c64]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: 2252-2257 - [c63]Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo:
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. NeurIPS 2021: 10849-10861 - [i35]Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar:
Online Learning for Unknown Partially Observable MDPs. CoRR abs/2102.12661 (2021) - [i34]Sagar Sudhakara, Dhruva Kartik, Rahul Jain, Ashutosh Nayyar:
Optimal communication and control strategies in a multi-agent MDP problem. CoRR abs/2104.10923 (2021) - [i33]Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain, Haipeng Luo:
Online Learning for Stochastic Shortest Path Model via Posterior Sampling. CoRR abs/2106.05335 (2021) - [i32]Liyu Chen, Mehdi Jafarnia-Jahromi, Rahul Jain, Haipeng Luo:
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. CoRR abs/2106.08377 (2021) - [i31]Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar:
Learning Zero-sum Stochastic Games with Posterior Sampling. CoRR abs/2109.03396 (2021) - [i30]William Chang, Mehdi Jafarnia-Jahromi, Rahul Jain:
Online Learning for Cooperative Multi-Player Multi-Armed Bandits. CoRR abs/2109.03818 (2021) - [i29]Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications. CoRR abs/2109.13377 (2021) - [i28]Liyu Chen, Rahul Jain, Haipeng Luo:
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP. CoRR abs/2112.09859 (2021) - 2020
- [j28]Mehdi Jafarnia-Jahromi, Rahul Jain:
Non-indexability of the stochastic appointment scheduling problem. Autom. 118: 109016 (2020) - [j27]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): 115-129 (2020) - [j26]Yi Ouyang, Mukul Gagrani, Rahul Jain:
Posterior Sampling-Based Reinforcement Learning for Control of Unknown Linear Systems. IEEE Trans. Autom. Control. 65(8): 3600-3607 (2020) - [c62]Nathan Dahlin, Rahul Jain:
A Risk Aware Two-Stage Market Mechanism for Electricity with Renewable Generation. ACC 2020: 186-191 - [c61]Nathan Dahlin, Rahul Jain:
Scheduling of Flexible Non-Preemptive Loads. CDC 2020: 2567-2572 - [c60]Hiteshi Sharma, Rahul Jain:
Finite Time Guarantees for Continuous State MDPs with Generative Model. CDC 2020: 3617-3622 - [c59]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: 10170-10180 - [i27]Nathan Dahlin, Rahul Jain:
A Risk Aware Two-Stage Market Mechanism for Electricity with Renewable Generation. CoRR abs/2003.06119 (2020) - [i26]Nathan Dahlin, Rahul Jain:
Scheduling of Flexible Non-Preemptive Loads. CoRR abs/2003.13220 (2020) - [i25]Hiteshi Sharma, Rahul Jain:
Randomized Policy Learning for Continuous State and Action MDPs. CoRR abs/2006.04331 (2020) - [i24]Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo, Rahul Jain:
Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation. CoRR abs/2007.11849 (2020) - [i23]Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. CoRR abs/2009.11348 (2020) - [i22]Nathan Dahlin, Krishna Chaitanya Kalagarla, Nikhil Naik, Rahul Jain, Pierluigi Nuzzo:
Designing Interpretable Approximations to Deep Reinforcement Learning with Soft Decision Trees. CoRR abs/2010.14785 (2020) - [i21]Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
Synthesis of Discounted-Reward Optimal Policies for Markov Decision Processes Under Linear Temporal Logic Specifications. CoRR abs/2011.00632 (2020)
2010 – 2019
- 2019
- [c58]Hiteshi Sharma, Rahul Jain:
An Approximately Optimal Relative Value Learning Algorithm for Averaged MDPs with Continuous States and Actions. Allerton 2019: 734-740 - [c57]Nathan Dahlin, Rahul Jain:
A Two Stage Stochastic Mechanism for Selling Random Power. ACC 2019: 2602-2607 - [c56]Nathan Dahlin, Rahul Jain:
A Two-Stage Market Mechanism for Electricity with Renewable Generation. CDC 2019: 5150-5155 - [c55]Hiteshi Sharma, Rahul Jain, William B. Haskell:
Empirical Algorithms for General Stochastic Systems with Continuous States and Actions. CDC 2019: 6344-6349 - [c54]Hiteshi Sharma, Rahul Jain, Abhishek K. Gupta:
An Empirical Relative Value Learning Algorithm for Non-parametric MDPs with Continuous State Space. ECC 2019: 1368-1373 - [c53]Hiteshi Sharma, Mehdi Jafarnia-Jahromi, Rahul Jain:
Approximate Relative Value Learning for Average-reward Continuous State MDPs. UAI 2019: 956-964 - [i20]Nathan Dahlin, Rahul Jain:
A Two-Stage Market Mechanism for Electricity with Renewable Generation. CoRR abs/1909.00508 (2019) - [i19]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 abs/1910.07072 (2019) - 2018
- [j25]Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain:
On Regret-Optimal Learning in Decentralized Multiplayer Multiarmed Bandits. IEEE Trans. Control. Netw. Syst. 5(1): 597-606 (2018) - [j24]Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain:
Optimal Decentralized Control With Asymmetric One-Step Delayed Information Sharing. IEEE Trans. Control. Netw. Syst. 5(1): 653-663 (2018) - [j23]Wenyuan Tang, Rahul Jain:
Aggregating Correlated Wind Power With Full Surplus Extraction. IEEE Trans. Smart Grid 9(6): 6030-6038 (2018) - [c52]Abhishek K. Gupta, Balsam Dakhil, Rahul Jain:
Dynamic Economic Dispatch and Price Evolution under Ramping Constraints and Uncertain Demand. Allerton 2018: 48-55 - [i18]Abhishek K. Gupta, Rahul Jain, Peter W. Glynn:
A Fixed Point Theorem for Iterative Random Contraction Operators over Banach Spaces. CoRR abs/1804.01195 (2018) - [i17]Nathan Dahlin, Rahul Jain:
A Two Stage Mechanism For Selling Random Power. CoRR abs/1809.09873 (2018) - 2017
- [j22]Dileep M. Kalathil, Vivek S. Borkar, Rahul Jain:
Approachability in Stackelberg Stochastic Games with Vector Costs. Dyn. Games Appl. 7(3): 422-442 (2017) - [c51]William B. Haskell, Rahul Jain:
Inexact iteration of averaged operators for non-strongly convex stochastic optimization. Allerton 2017: 1184-1191 - [c50]Yi Ouyang, Mukul Gagrani, Rahul Jain:
Control of unknown linear systems with Thompson sampling. Allerton 2017: 1198-1205 - [c49]William B. Haskell, Pengqian Yu, Hiteshi Sharma, Rahul Jain:
Randomized function fitting-based empirical value iteration. CDC 2017: 2467-2472 - [c48]William B. Haskell, Rahul Jain:
A random monotone operator framework for strongly convex stochastic optimization. CDC 2017: 3763-3768 - [c47]Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar, Rahul Jain:
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach. NIPS 2017: 1333-1342 - [i16]Yi Ouyang, Mukul Gagrani, Rahul Jain:
Learning-based Control of Unknown Linear Systems with Thompson Sampling. CoRR abs/1709.04047 (2017) - [i15]Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar, Rahul Jain:
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach. CoRR abs/1709.04570 (2017) - 2016
- [j21]William B. Haskell, Rahul Jain, Dileep M. Kalathil:
Empirical Dynamic Programming. Math. Oper. Res. 41(2): 402-429 (2016) - [j20]Wenyuan Tang, Rahul Jain:
Dynamic Economic Dispatch Game: The Value of Storage. IEEE Trans. Smart Grid 7(5): 2350-2358 (2016) - [c46]Yi Ouyang, Rahul Jain, Pravin Varaiya:
On the existence of near-optimal fixed time control of traffic intersection signals. Allerton 2016: 134-141 - [c45]William B. Haskell, Rahul Jain, Hiteshi Sharma:
A dynamical systems framework for stochastic iterative optimization. CDC 2016: 4504-4509 - 2015
- [j19]Harsha Honnappa, Rahul Jain:
Strategic Arrivals into Queueing Networks: The Network Concert Queueing Game. Oper. Res. 63(1): 247-259 (2015) - [j18]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): 71-103 (2015) - [j17]William B. Haskell, Rahul Jain:
A Convex Analytic Approach to Risk-Aware Markov Decision Processes. SIAM J. Control. Optim. 53(3): 1569-1598 (2015) - [c44]Abhishek Gupta, Rahul Jain, Ram Rajagopal:
Scheduling, pricing, and efficiency of non-preemptive flexible loads under direct load control. Allerton 2015: 1008-1015 - [c43]Abhishek Gupta, Rahul Jain, Peter W. Glynn:
An empirical algorithm for relative value iteration for average-cost MDPs. CDC 2015: 5079-5084 - [c42]Abhishek Gupta, Rahul Jain, Kameshwar Poolla, Pravin Varaiya:
Equilibria in two-stage electricity markets. CDC 2015: 5833-5838 - [c41]Wenyuan Tang, Junjie Qin, Rahul Jain, Ram Rajagopal:
Pricing sequential forward power contracts. SmartGridComm 2015: 563-568 - [i14]Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain:
On Regret-Optimal Learning in Decentralized Multi-player Multi-armed Bandits. CoRR abs/1505.00553 (2015) - 2014
- [j16]Parijat Dube, Rahul Jain:
Bertrand equilibria and efficiency in markets for congestible network services. Autom. 50(3): 756-767 (2014) - [j15]Vivek S. Borkar, Rahul Jain:
Risk-Constrained Markov Decision Processes. IEEE Trans. Autom. Control. 59(9): 2574-2579 (2014) - [j14]Dileep M. Kalathil, Naumaan Nayyar, Rahul Jain:
Decentralized Learning for Multiplayer Multiarmed Bandits. IEEE Trans. Inf. Theory 60(4): 2331-2345 (2014) - [j13]Srinivas Yerramalli, Rahul Jain, Urbashi Mitra:
Coalitional Games for Transmitter Cooperation in MIMO Multiple Access Channels. IEEE Trans. Signal Process. 62(4): 757-771 (2014) - [c40]Wenyuan Tang, Rahul Jain:
Dynamic economic dispatch among strategic generators with storage systems. Allerton 2014: 943-950 - [c39]William B. Haskell, Rahul Jain, Dileep M. Kalathil:
Empirical Value Iteration for approximate dynamic programming. ACC 2014: 495-500 - [c38]Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain:
Optimal decentralized control in unidirectional one-step delayed sharing pattern with partial output feedback. ACC 2014: 1906-1911 - [c37]Harsha Honnappa, Rahul Jain, Amy R. Ward:
Mean field limits by population acceleration. CDC 2014: 3414-3419 - [c36]Dileep M. Kalathil, Vivek S. Borkar, Rahul Jain:
Blackwell's approachability in stackelberg stochastic games: A learning version. CDC 2014: 4467-4472 - [c35]Wenyuan Tang, Rahul Jain, Ram Rajagopal:
Stochastic dynamic pricing: Utilizing demand response in an adaptive manner. CDC 2014: 6446-6451 - [c34]William B. Haskell, Rahul Jain, Dileep M. Kalathil:
Empirical policy iteration for approximate dynamic programming. CDC 2014: 6573-6578 - [c33]Wenyuan Tang, Rahul Jain:
Buying random yet correlated wind power. SmartGridComm 2014: 145-150 - [i13]Dileep M. Kalathil, Vivek S. Borkar, Rahul Jain:
A Learning Scheme for Approachability in MDPs and Stackelberg Stochastic Games. CoRR abs/1411.0728 (2014) - [i12]Dileep M. Kalathil, Vivek S. Borkar, Rahul Jain:
Empirical Q-Value Iteration. CoRR abs/1412.0180 (2014) - [i11]Harsha Honnappa, Rahul Jain, Amy R. Ward:
On Transitory Queueing. CoRR abs/1412.2321 (2014) - 2013
- [j12]William B. Haskell, Rahul Jain:
Stochastic Dominance-Constrained Markov Decision Processes. SIAM J. Control. Optim. 51(1): 273-303 (2013) - [j11]Dileep M. Kalathil, Rahul Jain:
Spectrum Sharing through Contracts for Cognitive Radios. IEEE Trans. Mob. Comput. 12(10): 1999-2011 (2013) - [c32]Srinivas Yerramalli, Rahul Jain, Urbashi Mitra:
Coalition formation for uplink device to device coordination with cooperation costs. ACSSC 2013: 841-845 - [c31]Naumaan Nayyar, Dileep M. Kalathil, Rahul Jain:
Optimal decentralized control in unidirectional one-step delayed sharing pattern. Allerton 2013: 374-380 - [c30]Wenyuan Tang, Rahul Jain:
Game-theoretic analysis of the nodal pricing mechanism for electricity markets. CDC 2013: 562-567 - [i10]Srinivas Yerramalli, Rahul Jain, Urbashi Mitra:
Broadcast Channel Games: Equilibrium Characterization and a MIMO MAC-BC Game Duality. CoRR abs/1305.4703 (2013) - [i9]Wenyuan Tang, Rahul Jain:
A Nash Equilibrium Need Not Exist in the Locational Marginal Pricing Mechanism. CoRR abs/1310.4282 (2013) - 2012
- [j10]Rahul Jain:
Network market design part I: bandwidth markets. IEEE Commun. Mag. 50(11): 78-83 (2012) - [j9]Wenyuan Tang, Rahul Jain:
Hierarchical Auction Mechanisms for Network Resource Allocation. IEEE J. Sel. Areas Commun. 30(11): 2117-2125 (2012) - [j8]Yi Gai, Bhaskar Krishnamachari, Rahul Jain:
Combinatorial Network Optimization With Unknown Variables: Multi-Armed Bandits With Linear Rewards and Individual Observations. IEEE/ACM Trans. Netw. 20(5): 1466-1478 (2012) - [c29]Harsha Honnappa, Rahul Jain, Amy R. Ward:
The A(i)/GI/l Queue: A new model of transitory queueing. Allerton Conference 2012: 738-745 - [c28]Dileep M. Kalathil, Naumaan Nayyar, Rahul Jain:
Multi-player multi-armed bandits: Decentralized learning with IID rewards. Allerton Conference 2012: 853-860 - [c27]Srinivas Yerramalli, Rahul Jain, Urbashi Mitra:
Characterization of equilibria for the degraded Gaussian broadcast and sum power MAC channels. Allerton Conference 2012: 1206-1212 - [c26]Qingsi Wang, Mingyan Liu, Rahul Jain:
Dynamic pricing of power in Smart-Grid networks. CDC 2012: 1099-1104 - [c25]Dileep M. Kalathil, Naumaan Nayyar, Rahul Jain:
Decentralized learning for multi-player multi-armed bandits. CDC 2012: 3960-3965 - [c24]William B. Haskell, Rahul Jain:
Dominance-constrained Markov decision processes. CDC 2012: 5991-5996 - [c23]Srinivas Yerramalli, Rahul Jain, Urbashi Mitra:
A game theoretic model for the Gaussian broadcast channel. ISIT 2012: 2516-2520 - [c22]Dileep M. Kalathil, Rahul Jain:
Incentives for cooperative relaying in a simple information-theoretic model. ISIT 2012: 2521-2525 - [c21]Harsha Honnappa, Rahul Jain, Amy R. Ward:
A new transitory queueing model and its process limits. VALUETOOLS 2012: 11-20 - [e1]Rahul Jain, Rajgopal Kannan:
Game Theory for Networks - 2nd International ICST Conference, GAMENETS 2011, Shanghai, China, April 16-18, 2011, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 75, Springer 2012, ISBN 978-3-642-30372-2 [contents] - [i8]Srinivas Yerramalli, Rahul Jain, Urbashi Mitra:
A Game Theoretic Model for the Gaussian Broadcast Channel. CoRR abs/1203.3210 (2012) - [i7]Harsha Honnappa, Rahul Jain, Amy R. Ward:
Δ(i)/GI/1: A New Queueing Model For Transitory Queueing Systems. CoRR abs/1206.0720 (2012) - [i6]Wenyuan Tang, Rahul Jain:
Mechanism Designs for Stochastic Resources for Renewable Energy Integration. CoRR abs/1206.1903 (2012) - [i5]Srinivas Yerramalli, Rahul Jain, Urbashi Mitra:
Coalitional Games for Transmitter Cooperation in Wireless Networks. CoRR abs/1206.3350 (2012) - [i4]Dileep M. Kalathil, Naumaan Nayyar, Rahul Jain:
Decentralized Learning for Multi-player Multi-armed Bandits. CoRR abs/1206.3582 (2012) - [i3]Qingsi Wang, Mingyan Liu, Rahul Jain:
Dynamic Pricing of Power in Smart-Grid Networks. CoRR abs/1208.5700 (2012) - 2011
- [j7]Rahul Jain, Sandeep Juneja, Nahum Shimkin:
The concert queueing game: to wait or to be late. Discret. Event Dyn. Syst. 21(1): 103-138 (2011) - [c20]Wenyuan Tang, Rahul Jain:
Stochastic resource auctions for renewable energy integration. Allerton 2011: 345-352 - [c19]Wenyuan Tang, Rahul Jain:
Hierarchical Auctions for Network Resource Allocation. GAMENETS 2011: 11-26 - [c18]Srinivas Yerramalli, Rahul Jain, Urbashi Mitra:
Coalition games for transmitter cooperation in wireless networks. ISIT 2011: 2706-2710 - [i2]Harsha Honnappa, Rahul Jain:
Strategic Arrivals into Queueing Networks: The Network Concert Queueing Game. CoRR abs/1112.3052 (2011) - 2010
- [j6]Rahul Jain, Jean C. Walrand:
An efficient Nash-implementation mechanism for network resource allocation. Autom. 46(8): 1276-1283 (2010) - [j5]Rahul Jain, Pravin Varaiya:
Simulation-based optimization of Markov decision processes: An empirical process theory approach. Autom. 46(8): 1297-1304 (2010) - [c17]Dileep M. Kalathil, Rahul Jain:
Communication games on the generalized Gaussian relay channel. Allerton 2010: 562-569 - [c16]Harsha Honnappa, Rahul Jain:
Strategic arrivals into queueing networks. Allerton 2010: 820-827 - [c15]Vivek S. Borkar, Rahul Jain:
Risk-constrained Markov decision processes. CDC 2010: 2664-2669 - [c14]Parijat Dube, Rahul Jain:
DiffServ pricing games in multi-class queueing network models. ITC 2010: 1-8 - [c13]Dileep M. Kalathil, Rahul Jain:
A contracts-based approach for spectrum sharing among cognitive radios. WiOpt 2010: 91-97 - [i1]Yi Gai, Bhaskar Krishnamachari, Rahul Jain:
Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards. CoRR abs/1011.4748 (2010)
2000 – 2009
- 2009
- [c12]Parijat Dube, Rahul Jain:
Bertrand games between multi-class queues. CDC 2009: 8588-8593 - [c11]Parijat Dube, Rahul Jain:
Queueing game models for differentiated services. GAMENETS 2009: 523-532 - [c10]Sandeep Juneja, Rahul Jain:
The concert/cafeteria queueing problem: a game of arrivals. VALUETOOLS 2009: 59 - 2008
- [c9]Parijat Dube, Rahul Jain:
N-player Bertrand-Cournot games in queues: Existence of equilibrium. Allerton 2008: 491-498 - 2007
- [c8]Rahul Jain:
Designing a strategic bipartite matching market. CDC 2007: 139-144 - 2006
- [j4]Rahul Jain, Pravin Varaiya:
Simulation-based Uniform Value Function Estimates of Markov Decision Processes. SIAM J. Control. Optim. 45(5): 1633-1656 (2006) - [c7]Antonis Dimakis, Rahul Jain, Jean C. Walrand:
Mechanisms for Efficient Allocation in Divisible Capacity Networks. CDC 2006: 1264-1269 - 2005
- [c6]Rahul Jain, Pravin Varaiya:
Efficient Market Mechanisms for Network Resource Allocation. CDC/ECC 2005: 1056-1061 - 2004
- [j3]Tunc Simsek, Rahul Jain, Pravin Varaiya:
Scalar estimation and control with noisy binary observations. IEEE Trans. Autom. Control. 49(9): 1598-1603 (2004) - [c5]Rahul Jain, Pravin Varaiya:
Simulation-based uniform value function estimates of discounted and average-reward MDPs. CDC 2004: 4405-4410 - [c4]Rahul Jain, Pravin Varaiya:
PAC learning for Markov decision processes and dynamic games. ISIT 2004: 468 - 2003
- [j2]Rahul Jain, Pravin Varaiya:
Combination Exchange Mechanisms for Efficient Bandwidth Allocation. Commun. Inf. Syst. 3(4): 305-324 (2003) - 2002
- [c3]Rahul Jain, Tunc Simsek, Pravin Varaiya:
Control under communication constraints. CDC 2002: 3209-3216 - 2001
- [j1]Rahul Jain, Anuj Puri, Raja Sengupta:
Geographical routing using partial information for wireless ad hoc networks. IEEE Wirel. Commun. 8(1): 48-57 (2001)
1990 – 1999
- 1999
- [c2]Rahul Jain, Edward W. Knightly:
A Framework for Design & Evaluation of Admission Control Algorithms in Multi-Service Mobile Networks. INFOCOM 1999: 1027-1035 - [c1]Rahul Jain, Bahareh Sadeghi, Edward W. Knightly:
Towards Coarse-Grained Mobile QoS. WOWMOM 1999: 109-116
Coauthor Index
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