default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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) - [c79]Akhil Agnihotri, Rahul Jain, Haipeng Luo:
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints. ICML 2024 - [i52]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) - [i51]Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Sahil Singla:
e-COP : Episodic Constrained Optimization of Policies. CoRR abs/2406.09563 (2024) - [i50]Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Zheng Wen:
Online Bandit Learning with Offline Preference Data. CoRR abs/2406.09574 (2024) - [i49]Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar:
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning. CoRR abs/2408.09125 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
