Akshat Kumar

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	All	Since 2016
Citations	1007	621
h-index	19	15
i10-index	30	22

180

135

20062007200820092010201120122013201420152016201720182019202020214 3 12 11 26 48 47 66 57 99 93 75 116 177 144 14

Co-authors

Shlomo ZilbersteinProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Pradeep VarakanthamAssociate Professor, Singapore Management University and Visiting Researcher, GoogleVerified email at smu.edu.sg
Daniel SheldonUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Boi FaltingsEcole Polytechnique Federale de Lausanne (EPFL)Verified email at epfl.ch
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyVerified email at tu-berlin.de
Xiaojian WuFacebook AIVerified email at cs.umass.edu
Arambam James SinghPhD Student, School of Computing & Information System, Singapore Management UniversityVerified email at phdcs.smu.edu.sg
Tao SunAmazon.comVerified email at amazon.com
William YeohWashington University in St. LouisVerified email at wustl.edu
Thomas DietterichDistinguished Professor (Emeritus), Computer Science, Oregon State UniversityVerified email at cs.orst.edu
Meghna LowalekarSingapore Management UniversityVerified email at phdis.smu.edu.sg
Hala MostafaRaytheon Technologies Research CenterVerified email at rtx.com
Shivashankar B NairProfessor, Dept. of Computer Science & Engg., Indian Institute of Technology GuwahatiVerified email at iitg.ernet.in
Supriyo GhoshResearch Scientist, IBM Research AIVerified email at ibm.com
Pritee Agrawalsingapore management universityVerified email at phdis.smu.edu.sg
Shih-Fen ChengSchool of Information Systems, Singapore Management UniversityVerified email at smu.edu.sg

Akshat Kumar

Associate Professor, School of Information Systems, Singapore Management

Verified email at smu.edu.sg - Homepage

Artificial Intelligence Machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Distributed constraint optimization with structured resource constraints A Kumar, B Faltings, A Petcu IFAAMAS 2, 923, 2009	83	2009
Scalable multiagent planning using probabilistic inference A Kumar, S Zilberstein, M Toussaint AAAI Press, 2011	68	2011
Constraint-based dynamic programming for decentralized POMDPs with structured interactions A Kumar, S Zilberstein IFAAMS, 2009	67	2009
Anytime planning for decentralized POMDPs using expectation maximization A Kumar, S Zilberstein arXiv preprint arXiv:1203.3490, 2012	53	2012
Point-Based Backup for Decentralized POMPDs: Complexity and New Algorithms A Kumar, S Zilberstein IFAAMAS 1, 1315, 2010	51	2010
Approximate inference in collective graphical models D Sheldon, T Sun, A Kumar, T Dietterich International Conference on Machine Learning, 1004-1012, 2013	48	2013
Credit assignment for collective multiagent rl with global rewards DT Nguyen, A Kumar, HC Lau MIT Press, 2018	35	2018
Tournament versus fitness uniform selection S Legg, M Hutter, A Kumar Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004	32	2004
Policy gradient with value function approximation for collective multiagent planning DT Nguyen, A Kumar, HC Lau arXiv preprint arXiv:1804.02884, 2018	31	2018
Event-detecting multi-agent MDPs: Complexity and constant-factor approximation A Kumar, S Zilberstein	31	2009
Probabilistic inference techniques for scalable multiagent decision making A Kumar, S Zilberstein, M Toussaint Journal of Artificial Intelligence Research 53, 223-270, 2015	30	2015
Optimization approaches for solving chance constrained stochastic orienteering problems P Varakantham, A Kumar International Conference on Algorithmic DecisionTheory, 387-398, 2013	30	2013
Lagrangian relaxation techniques for scalable spatial conservation planning A Kumar, X Wu, S Zilberstein Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 2012	30	2012
Collective multiagent sequential decision making under uncertainty DT Nguyen, A Kumar, HC Lau Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	29	2017
Message passing for collective graphical models T Sun, D Sheldon, A Kumar International Conference on Machine Learning, 853-861, 2015	29	2015
Collective diffusion over networks: Models and inference A Kumar, D Sheldon, B Srivastava arXiv preprint arXiv:1309.6841, 2013	23	2013
An artificial immune system based approach for English grammar checking A Kumar, SB Nair International Conference on Artificial Immune Systems, 348-357, 2007	21	2007
Message-passing algorithms for quadratic programming formulations of MAP estimation A Kumar, S Zilberstein arXiv preprint arXiv:1202.3739, 2012	20	2012
Dynamic programming approximations for partially observable stochastic games A Kumar, S Zilberstein AAAI Press, 2009	20	2009
MAP estimation for graphical models by likelihood maximization A Kumar, S Zilberstein Neural Information Processing Systems, 2010	19	2010

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