Akshat Kumar
Akshat Kumar
Assistant Professor, School of Information Systems, Singapore Management
Verified email at smu.edu.sg - Homepage
TitleCited byYear
Distributed constraint optimization with structured resource constraints
A Kumar, B Faltings, A Petcu
Proceedings of The 8th International Conference on Autonomous Agents and …, 2009
782009
Scalable multiagent planning using probabilistic inference
A Kumar, S Zilberstein, M Toussaint
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
612011
Constraint-based dynamic programming for decentralized POMDPs with structured interactions
A Kumar, S Zilberstein
Proceedings of The 8th International Conference on Autonomous Agents and …, 2009
562009
Anytime planning for decentralized POMDPs using expectation maximization
A Kumar, S Zilberstein
arXiv preprint arXiv:1203.3490, 2012
402012
Point-based backup for decentralized POMDPs: Complexity and new algorithms
A Kumar, S Zilberstein
Proceedings of the 9th International Conference on Autonomous Agents and …, 2010
392010
Tournament versus fitness uniform selection
S Legg, M Hutter, A Kumar
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
322004
Approximate inference in collective graphical models
D Sheldon, T Sun, A Kumar, T Dietterich
282013
Optimization approaches for solving chance constrained stochastic orienteering problems
P Varakantham, A Kumar
International Conference on Algorithmic DecisionTheory, 387-398, 2013
252013
Lagrangian relaxation techniques for scalable spatial conservation planning
A Kumar, X Wu, S Zilberstein
Twenty-sixth AAAI Conference on Artificial Intelligence, 2012
232012
Probabilistic inference techniques for scalable multiagent decision making
A Kumar, S Zilberstein, M Toussaint
Journal of Artificial Intelligence Research 53, 223-270, 2015
222015
Event-detecting multi-agent MDPs: complexity and constant-factor approximation
A Kumar, S Zilberstein
Twenty-First International Joint Conference on Artificial Intelligence, 2009
222009
Message-passing algorithms for quadratic programming formulations of MAP estimation
A Kumar, S Zilberstein
arXiv preprint arXiv:1202.3739, 2012
192012
Policy gradient with value function approximation for collective multiagent planning
DT Nguyen, A Kumar, HC Lau
Advances in Neural Information Processing Systems, 4319-4329, 2017
182017
H-DPOP: Using Hard Constraints for Search Space Pruning in DCOP.
A Kumar, A Petcu, B Faltings
AAAI, 325-330, 2008
182008
An artificial immune system based approach for English grammar checking
A Kumar, SB Nair
International Conference on Artificial Immune Systems, 348-357, 2007
182007
MAP estimation for graphical models by likelihood maximization
A Kumar, S Zilberstein
Advances in Neural Information Processing Systems, 1180-1188, 2010
162010
H-DPOP: Using hard constraints to prune the search space
A Kumar, A Petcu, B Faltings
IJCAI’07-Distributed Constraint Reasoning workshop, DCR’07, 40-55, 2007
162007
Collective multiagent sequential decision making under uncertainty
DT Nguyen, A Kumar, HC Lau
Thirty-First AAAI Conference on Artificial Intelligence, 2017
152017
Message passing for collective graphical models
T Sun, D Sheldon, A Kumar
JMLR, 2015
152015
Dynamic programming approximations for partially observable stochastic games
A Kumar, S Zilberstein
Twenty-Second International FLAIRS Conference, 2009
152009
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Articles 1–20