Jivko Sinapov

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Peter StoneProfessor of Computer Science, The University of Texas at AustinGeverifieerd e-mailadres voor cs.utexas.edu
Alexander StoytchevAssociate Professor of Electrical and Computer Engineering, Iowa State UniversityGeverifieerd e-mailadres voor iastate.edu
Matteo LeonettiDepartment of Informatics, King's College LondonGeverifieerd e-mailadres voor kcl.ac.uk
Jesse ThomasonAssistant Professor, University of Southern CaliforniaGeverifieerd e-mailadres voor usc.edu
Raymond MooneyProfessor of Computer Science, University of Texas at AustinGeverifieerd e-mailadres voor cs.utexas.edu
Sanmit NarvekarResearch Scientist, WaymoGeverifieerd e-mailadres voor cs.utexas.edu
Gyan TatiyaTufts UniversityGeverifieerd e-mailadres voor tufts.edu
Justin HartThe University of Texas at AustinGeverifieerd e-mailadres voor cs.utexas.edu
Vlad SukhoyVelodyne LIDARGeverifieerd e-mailadres voor velodyne.com
Connor SchenckGoogle DeepmindGeverifieerd e-mailadres voor google.com
Matthias ScheutzProfessor of Computer Science and Cognitive Science, Tufts UniversityGeverifieerd e-mailadres voor tufts.edu
Vasant G HonavarDorothy Foehr Huck and J. Lloyd Huck Chair in Biomedical Data Science, Pennsylvania State Univ.Geverifieerd e-mailadres voor psu.edu
Cornelia CarageaUniversity of Illinois at ChicagoGeverifieerd e-mailadres voor uic.edu
Drena DobbsUniversity Professor, Emerita, Genetics, Development & Cell Biology, Iowa State UniversityGeverifieerd e-mailadres voor iastate.edu
Andre CleaverTufts UniversityGeverifieerd e-mailadres voor tufts.edu
Shane GriffithFormerly MassSim, TuSimple, Fyusion, GT CS PhDGeverifieerd e-mailadres voor gatech.edu
Shiqi ZhangAssociate Professor of Computer Science, SUNY BinghamtonGeverifieerd e-mailadres voor binghamton.edu
Maxwell SvetlikAI Engineer, Sony AIGeverifieerd e-mailadres voor utexas.edu
Shivam GoelPh.D. Candidate at Mulip Lab,Tufts UniversityGeverifieerd e-mailadres voor tufts.edu
Evana GizziNASA Goddard Space Flight CenterGeverifieerd e-mailadres voor nasa.gov

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Jivko Sinapov

Assistant Professor, Tufts University

Geverifieerd e-mailadres voor cs.tufts.edu - Homepage

Robotics Machine Learning Artificial Intelligence


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Curriculum learning for reinforcement learning domains: A framework and survey S Narvekar, B Peng, M Leonetti, J Sinapov, ME Taylor, P Stone Journal of Machine Learning Research 21 (181), 1-50, 2020	617	2020
Glycosylation site prediction using ensembles of Support Vector Machine classifiers C Caragea, J Sinapov, A Silvescu, D Dobbs, V Honavar BMC bioinformatics 8 (1), 438, 2007	225	2007
Vibrotactile Recognition and Categorization of Surfaces by a Humanoid Robot J Sinapov, V Sukhoy, R Sahai, A Stoytchev Robotics, IEEE Transactions on 27 (3), 488-497, 2011	195	2011
Source task creation for curriculum learning S Narvekar, J Sinapov, M Leonetti, P Stone Proceedings of the 2016 international conference on autonomous agents …, 2016	160	2016
Bwibots: A platform for bridging the gap between ai and human–robot interaction research P Khandelwal, S Zhang, J Sinapov, M Leonetti, J Thomason, F Yang, ... The International Journal of Robotics Research 36 (5-7), 635-659, 2017	148	2017
Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning. S Narvekar, J Sinapov, P Stone IJCAI, 2536-2542, 2017	146	2017
Learning Multi-Modal Grounded Linguistic Semantics by Playing" I Spy". J Thomason, J Sinapov, M Svetlik, P Stone, RJ Mooney IJCAI, 3477-3483, 2016	122	2016
Automatic curriculum graph generation for reinforcement learning agents M Svetlik, M Leonetti, J Sinapov, R Shah, N Walker, P Stone Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017	112	2017
Detecting the functional similarities between tools using a hierarchical representation of outcomes J Sinapov, A Stoytchev Development and Learning, 2008. ICDL 2008. 7th IEEE International Conference …, 2008	96	2008
Grounding semantic categories in behavioral interactions: Experiments with 100 objects J Sinapov, C Schenck, K Staley, V Sukhoy, A Stoytchev Robotics and Autonomous Systems 62 (5), 632-645, 2014	92	2014
Interactive learning of the acoustic properties of household objects J Sinapov, M Wiemer, A Stoytchev Robotics and Automation, 2009. ICRA'09. IEEE International Conference on …, 2009	87	2009
Interactive object recognition using proprioceptive and auditory feedback J Sinapov, T Bergquist, C Schenck, U Ohiri, S Griffith, A Stoytchev The International Journal of Robotics Research 30 (10), 1250-1262, 2011	85	2011
Improving grounded natural language understanding through human-robot dialog J Thomason, A Padmakumar, J Sinapov, N Walker, Y Jiang, H Yedidsion, ... 2019 International Conference on Robotics and Automation (ICRA), 6934-6941, 2019	81	2019
Learning relational object categories using behavioral exploration and multimodal perception J Sinapov, C Schenck, A Stoytchev 2014 IEEE international conference on robotics and automation (ICRA), 5691-5698, 2014	71	2014
A behavior–grounded approach to forming object categories: Separating containers from non-containers S Griffith, J Sinapov, V Sukhoy, A Stoytchev IEEE Transactions on Autonomous Mental Development, 2011	69	2011
Jointly improving parsing and perception for natural language commands through human-robot dialog J Thomason, A Padmakumar, J Sinapov, N Walker, Y Jiang, H Yedidsion, ... Journal of Artificial Intelligence Research 67, 327-374, 2020	66	2020
Opportunistic active learning for grounding natural language descriptions J Thomason, A Padmakumar, J Sinapov, J Hart, P Stone, RJ Mooney Conference on robot learning, 67-76, 2017	66	2017
Object category recognition by a humanoid robot using behavior-grounded relational learning J Sinapov, A Stoytchev Robotics and Automation (ICRA), 2011 IEEE International Conference on, 184-190, 2011	62	2011
Learning and generalization of behavior-grounded tool affordances J Sinapov, A Stoytchev Development and Learning, 2007. ICDL 2007. IEEE 6th International Conference …, 2007	58	2007
Toward interactive learning of object categories by a robot: A case study with container and non-container objects S Griffith, J Sinapov, M Miller, A Stoytchev Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference …, 2009	57	2009

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