Siddharth Srivastava

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Neil ImmermanCollege of Computer and Information Sciences, UMass, AmherstVerified email at cs.umass.edu
Shlomo ZilbersteinProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyVerified email at cs.berkeley.edu
Pieter AbbeelUC Berkeley | Covariant.AIVerified email at cs.berkeley.edu
Subbarao KambhampatiArizona State UniversityVerified email at asu.edu
Sarath SreedharanAssistant Professor, CSUVerified email at colostate.edu
Rohan ChitnisMIT, UC BerkeleyVerified email at mit.edu
Lorenzo RianoSenior Software Engineer (Perception) at WaymoVerified email at waymo.com
Pulkit VermaArizona State UniversityVerified email at asu.edu
David JensenProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Michael HayColgate UniversityVerified email at colgate.edu
Gerome MiklauProfessor of Computer Science, University of Massachusetts, AmherstVerified email at cs.umass.edu
Eugene FangCarnegie Mellon UniversityVerified email at cmu.edu
Naman ShahPhD Student, Computer Science, Arizona State UniverisityVerified email at asu.edu
Greta YorshLecturer at the School of Electronic Engineering and Computer Science, Queen Mary University of LondonVerified email at qmul.ac.uk
Thomas RepsJ. Barkley Rosser Professor & Rajiv and Ritu Batra Chair, Comp. Sci. Dept., Univ. of WisconsinVerified email at cs.wisc.edu
Mooly SagivTel Aviv UniversityVerified email at acm.org
Kislay KumarAmazon Robotics AIVerified email at amazon.com
Anagha KulkarniInvitaeVerified email at invitae.com
Abhishek GuptaUniversity of California, BerkeleyVerified email at berkeley.edu

Siddharth Srivastava

Arizona State University

Verified email at asu.edu - Homepage

Artificial intelligence sequential decision making under uncertainty probabilistic inference robotics formal methods


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Anonymizing social networks M Hay, G Miklau, D Jensen, P Weis, S Srivastava Computer science department faculty publication series, 180, 2007	479	2007
Anonymizing social networks M Hay, G Miklau, D Jensen, P Weis, S Srivastava Computer Science Department Faculty Publication Series, 180, 2007	470	2007
Combined task and motion planning through an extensible planner-independent interface layer S Srivastava, E Fang, L Riano, R Chitnis, S Russell, P Abbeel 2014 IEEE International Conference on Robotics and Automation (ICRA), 639-646, 2014	463	2014
Learning Generalized Reactive Policies using Deep Neural Networks E Groshev, A Tamar, M Goldstein, S Srivastava, P Abbeel ICAPS, 2018	87	2018
Simulating reachability using first-order logic with applications to verification of linked data structures T Lev-Ami, N Immerman, T Reps, M Sagiv, S Srivastava, G Yorsh International Conference on Automated Deduction, 99-115, 2005	76	2005
A new representation and associated algorithms for generalized planning S Srivastava, N Immerman, S Zilberstein Artificial Intelligence 175 (2), 615-647, 2011	75	2011
Learning Generalized Plans Using Abstract Counting. S Srivastava, N Immerman, S Zilberstein AAAI 8, 991-997, 2008	66	2008
A unified framework for planning in adversarial and cooperative environments A Kulkarni, S Srivastava, S Kambhampati Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2479-2487, 2019	57	2019
Hierarchical Expertise Level Modeling for User-Specific Contrastive Explanations S Sreedharan, S Srivastava, S Kambhampati IJCAI, 2018	57	2018
Platform-independent benchmarks for task and motion planning F Lagriffoul, NT Dantam, C Garrett, A Akbari, S Srivastava, LE Kavraki IEEE Robotics and Automation Letters 3 (4), 3765-3772, 2018	50	2018
Using classical planners for tasks with continuous operators in robotics S Srivastava, L Riano, S Russell, P Abbeel Intl. Conf. on Automated Planning and Scheduling, 2013	50	2013
Guided search for task and motion plans using learned heuristics R Chitnis, D Hadfield-Menell, A Gupta, S Srivastava, E Groshev, C Lin, ... 2016 IEEE International Conference on Robotics and Automation (ICRA), 447-454, 2016	49	2016
Guided Search for Task and Motion Plans Using Learned Heuristics PA Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth ... ICRA, 2016	49*	2016
Markovian State and Action Abstractions for MDPs via Hierarchical MCTS. A Bai, S Srivastava, SJ Russell IJCAI, 3029-3039, 2016	47	2016
Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks S Sreedharan, S Srivastava, D Smith, S Kambhampati International Joint Conference on Artificial Intelligence, 2019	36	2019
Qualitative numeric planning S Srivastava, S Zilberstein, N Immerman, H Geffner Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1010-1016, 2011	32	2011
Directed search for generalized plans using classical planners S Srivastava, N Immerman, S Zilberstein, T Zhang Twenty-First International Conference on Automated Planning and Scheduling, 2011	30	2011
Metaphysics of planning domain descriptions S Srivastava, S Russell, A Pinto 2015 AAAI Fall Symposium Series, 2015	26	2015
Simulating reachability using first-order logic with applications to verification of linked data structures T Lev-Ami, N Immerman, T Reps, M Sagiv, S Srivastava, G Yorsh, ] Logical Methods in Computer Science 5, 2009	24	2009
First-order open-universe POMDPs: Formulation and algorithms S Srivastava, X Cheng, SJ Russell, A Pfeffer CALIFORNIA UNIV BERKELEY DEPT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2013	22	2013

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