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Akshat Kumar
Akshat Kumar
Associate Professor, School of Information Systems, Singapore Management
Verified email at smu.edu.sg - Homepage
Title
Cited by
Cited by
Year
Cost: Contrastive learning of disentangled seasonal-trend representations for time series forecasting
G Woo, C Liu, D Sahoo, A Kumar, S Hoi
arXiv preprint arXiv:2202.01575, 2022
1932022
Etsformer: Exponential smoothing transformers for time-series forecasting
G Woo, C Liu, D Sahoo, A Kumar, S Hoi
arXiv preprint arXiv:2202.01381, 2022
1422022
Credit assignment for collective multiagent RL with global rewards
DT Nguyen, A Kumar, HC Lau
Advances in neural information processing systems 31, 2018
1082018
Distributed constraint optimization with structured resource constraints
A Kumar, B Faltings, A Petcu
IFAAMAS 2, 923, 2009
902009
Scalable multiagent planning using probabilistic inference
A Kumar, S Zilberstein, M Toussaint
AAAI Press, 2011
832011
Constraint-based dynamic programming for decentralized POMDPs with structured interactions
A Kumar, S Zilberstein
IFAAMS, 2009
692009
Approximate inference in collective graphical models
D Sheldon, T Sun, A Kumar, T Dietterich
International Conference on Machine Learning, 1004-1012, 2013
622013
Policy gradient with value function approximation for collective multiagent planning
DT Nguyen, A Kumar, HC Lau
Advances in neural information processing systems 30, 2017
592017
Anytime planning for decentralized POMDPs using expectation maximization
A Kumar, S Zilberstein
arXiv preprint arXiv:1203.3490, 2012
592012
Collective multiagent sequential decision making under uncertainty
DT Nguyen, A Kumar, HC Lau
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
512017
Point-based backup for decentralized POMPDs: Complexity and new algorithms
A Kumar, S Zilberstein
IFAAMAS 1, 1315, 2010
502010
Resource constrained deep reinforcement learning
A Bhatia, P Varakantham, A Kumar
Proceedings of the International Conference on Automated Planning and …, 2019
492019
Probabilistic inference techniques for scalable multiagent decision making
A Kumar, S Zilberstein, M Toussaint
Journal of Artificial Intelligence Research 53, 223-270, 2015
482015
Optimization approaches for solving chance constrained stochastic orienteering problems
P Varakantham, A Kumar
Algorithmic Decision Theory: Third International Conference, ADT 2013 …, 2013
472013
Tournament versus fitness uniform selection
S Legg, M Hutter, A Kumar
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
422004
Message passing for collective graphical models
T Sun, D Sheldon, A Kumar
International Conference on Machine Learning, 853-861, 2015
402015
Dynamic programming approximations for partially observable stochastic games
A Kumar, S Zilberstein
Twenty-Second International FLAIRS Conference, 2009
382009
Hierarchical multiagent reinforcement learning for maritime traffic management
AJ Singh, A Kumar, HC Lau
IFAAMAS, 2020
342020
Event-detecting multi-agent MDPs: Complexity and constant-factor approximation
A Kumar, S Zilberstein
342009
Lagrangian relaxation techniques for scalable spatial conservation planning
A Kumar, X Wu, S Zilberstein
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 309-315, 2012
282012
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Articles 1–20