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 | CovariantVerified email at cs.berkeley.edu
Subbarao KambhampatiArizona State UniversityVerified email at asu.edu
Sarath SreedharanAssistant Professor, CSUVerified email at colostate.edu
Pulkit VermaArizona State UniversityVerified email at asu.edu
Rohan ChitnisMeta AI, MIT, UC BerkeleyVerified email at fb.com
Naman ShahPhD Candidate, Computer Science, Arizona State UniverisityVerified email at asu.edu
Lorenzo RianoSenior Software Engineer (Perception) at WaymoVerified email at waymo.com
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
Abhishek GuptaUniversity of WashingtonVerified email at cs.washington.edu
Anagha KulkarniInvitaeVerified email at invitae.com
Dylan Hadfield-MenellMassachusetts Institute of TechnologyVerified email at csail.mit.edu

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	586	2014
Anonymizing social networks M Hay, G Miklau, D Jensen, P Weis, S Srivastava Computer science department faculty publication series, 180, 2007	504	2007
Anonymizing social networks M Hay, G Miklau, D Jensen, P Weis, S Srivastava Computer Science Department Faculty Publication Series, 180, 2007	496	2007
Learning Generalized Reactive Policies using Deep Neural Networks E Groshev, A Tamar, M Goldstein, S Srivastava, P Abbeel ICAPS, 2018	128	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, ] Logical Methods in Computer Science 5, 2009	102	2009
A new representation and associated algorithms for generalized planning S Srivastava, N Immerman, S Zilberstein Artificial Intelligence 175 (2), 615-647, 2011	97	2011
Hierarchical Expertise Level Modeling for User-Specific Contrastive Explanations S Sreedharan, S Srivastava, S Kambhampati IJCAI, 2018	88*	2018
Learning Generalized Plans Using Abstract Counting. S Srivastava, N Immerman, S Zilberstein AAAI 8, 991-997, 2008	86	2008
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	80	2016
Guided Search for Task and Motion Plans Using Learned Heuristics PA Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth ... ICRA, 2016	80*	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	78	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	72	2019
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	60	2019
Markovian State and Action Abstractions for MDPs via Hierarchical MCTS. A Bai, S Srivastava, SJ Russell IJCAI, 3029-3039, 2016	60	2016
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	52	2013
Qualitative numeric planning S Srivastava, S Zilberstein, N Immerman, H Geffner Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1010-1016, 2011	46	2011
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning. R Karia, S Srivastava Proc. AAAI, 2021	43	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	36	2011
Asking the Right Questions: Learning Interpretable Action Models Through Query Answering P Verma, SR Marpally, S Srivastava Proc. AAAI, 2021	35	2021
Anytime integrated task and motion policies for stochastic environments N Shah, DK Vasudevan, K Kumar, P Kamojjhala, S Srivastava 2020 IEEE International Conference on Robotics and Automation (ICRA), 9285-9291, 2020	32	2020

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