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 ChitnisMeta AI, MIT, UC BerkeleyVerified email at fb.com
Pulkit VermaArizona State UniversityVerified email at asu.edu
Lorenzo RianoSenior Software Engineer (Perception) at WaymoVerified email at waymo.com
Naman ShahPhD Candidate, Computer Science, Arizona State UniverisityVerified email at asu.edu
Rushang KariaArizona State UniversityVerified email at asu.edu
Eugene FangCarnegie Mellon UniversityVerified email at cmu.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
Kislay KumarAmazon Robotics AIVerified email at amazon.com
Shashank Rao MarpallyDoctoral Student, National University of SingaporeVerified email at u.nus.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

Siddharth Srivastava

Arizona State University

Verified email at asu.edu - Homepage

Artificial Intelligence Automated Planning Robotics Task and Motion Planning AI Assessment


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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	562	2014
Anonymizing social networks M Hay, G Miklau, D Jensen, P Weis, S Srivastava Computer science department faculty publication series, 180, 2007	498	2007
Anonymizing social networks M Hay, G Miklau, D Jensen, P Weis, S Srivastava Computer Science Department Faculty Publication Series, 180, 2007	489	2007
Learning Generalized Reactive Policies using Deep Neural Networks E Groshev, A Tamar, M Goldstein, S Srivastava, P Abbeel ICAPS, 2018	114	2018
A new representation and associated algorithms for generalized planning S Srivastava, N Immerman, S Zilberstein Artificial Intelligence 175 (2), 615-647, 2011	87	2011
Hierarchical Expertise Level Modeling for User-Specific Contrastive Explanations S Sreedharan, S Srivastava, S Kambhampati IJCAI, 2018	83*	2018
Learning Generalized Plans Using Abstract Counting. S Srivastava, N Immerman, S Zilberstein AAAI 8, 991-997, 2008	79	2008
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 Automated Deduction–CADE-20: 20th International Conference on Automated …, 2005	76	2005
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	75	2016
Guided Search for Task and Motion Plans Using Learned Heuristics PA Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth ... ICRA, 2016	75*	2016
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	71	2018
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	69	2019
Markovian State and Action Abstractions for MDPs via Hierarchical MCTS. A Bai, S Srivastava, SJ Russell IJCAI, 3029-3039, 2016	57	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	54	2019
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	53	2013
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations S Sreedharan, U Soni, M Verma, S Srivastava, S Kambhampati	46	2020
Qualitative numeric planning S Srivastava, S Zilberstein, N Immerman, H Geffner Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1010-1016, 2011	43	2011
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning. R Karia, S Srivastava Proc. AAAI, 2021	35	2021
Directed search for generalized plans using classical planners S Srivastava, N Immerman, S Zilberstein, T Zhang Proceedings of the International Conference on Automated Planning and …, 2011	34	2011
Metaphysics of planning domain descriptions S Srivastava, S Russell, A Pinto Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	29	2016

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