Parameter learning for latent network diffusion

Shlomo Zilberstein , Akshat Kumar , Daniel Sheldon , Xiaojian Wu
international joint conference on artificial intelligence 2923 -2930

9
2013
Near-optimal nonmyopic contact center planning using dual decomposition

Akshat Kumar , Pranav Gupta , Gyana Parija , Sudhanshu Singh
international conference on automated planning and scheduling 395 -403

2
2014
2013
Solving Risk-Sensitive Stochastic Orienteering Problems using Optimization and Local Search

Pradeep Reddy Varakantham , Akshat Kumar , William Yeoh , Hoong Chuin Lau
Informs Journal on Computing

2014
Lagrangian relaxation techniques for scalable spatial conservation planning

Shlomo Zilberstein , Akshat Kumar , Xiaojian Wu
national conference on artificial intelligence 309 -315

19
2012
Event-detecting multi-agent MDPs: complexity and constant-factor approximation

Shlomo Zilberstein , Akshat Kumar
international joint conference on artificial intelligence 201 -207

16
2009
Message-passing algorithms for large structured decentralized POMDPs

Shlomo Zilberstein , Akshat Kumar
adaptive agents and multi-agents systems 1087 -1088

3
2011
Constraint-based dynamic programming for decentralized POMDPs with structured interactions

Shlomo Zilberstein , Akshat Kumar
adaptive agents and multi agents systems 561 -568

44
2009
On understanding diffusion dynamics of patrons at a theme park

Pradeep Varakantham , Akshat Kumar , Jiali Du
adaptive agents and multi-agents systems 1501 -1502

5
2014
Distributed constraint optimization with structured resource constraints

Boi Faltings , Akshat Kumar , Adrian Petcu
adaptive agents and multi agents systems 2 923 -930

88
2009
Scalable multiagent planning using probabilistic inference

Shlomo Zilberstein , Akshat Kumar , Marc Toussaint
international joint conference on artificial intelligence 2140 -2146

51
2011
Message Passing for Collective Graphical Models

Akshat Kumar , Dan Sheldon , Dan Sheldon , Tao Sun
international conference on machine learning 853 -861

18
2015
MAP Estimation for Graphical Models by Likelihood Maximization

Akshat Kumar , Shlomo Zilberstein ,
neural information processing systems 23 1180 -1188

13
2010
Approximate Inference in Collective Graphical Models

Tom Dietterich , Akshat Kumar , Daniel Sheldon , Tao Sun
international conference on machine learning 28 ( 3) 1004 -1012

27
2013
Message Passing Algorithms for MAP Estimation Using DC Programming

Shlomo Zilberstein , Akshat Kumar , Marc Toussaint
international conference on artificial intelligence and statistics 22 656 -664

5
2012
Near-Optimal Decentralized Power Supply Restoration in Smart Grids

Pradeep Varakantham , Akshat Kumar , Pritee Agrawal
adaptive agents and multi-agents systems 1275 -1283

6
2015
Probabilistic inference based message-passing for resource constrained DCOPs

Pradeep Varakantham , Supriyo Ghosh , Akshat Kumar
international conference on artificial intelligence 411 -417

7
2015
Approximate inference using DC programming for collective graphical models

Thien Nguyen , Akshat Kumar , Hoong Chuin Lau , Daniel Sheldon
international conference on artificial intelligence and statistics 51 685 -693

4
2016
History-based controller design and optimization for partially observable MDPs

Shlomo Zilberstein , Akshat Kumar
international conference on automated planning and scheduling 156 -164

6
2015
Dual formulations for optimizing Dec-POMDP controllers

Shlomo Zilberstein , Hala Mostafa , Akshat Kumar
international conference on automated planning and scheduling 202 -210

8
2016