Benjamin Rosman

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Subramanian RamamoorthyProfessor of Robot Learning and Autonomy, School of Informatics, University of EdinburghVerified email at ed.ac.uk
Steven JamesUniversity of the WitwatersrandVerified email at wits.ac.za
George KonidarisBrownVerified email at cs.brown.edu
Ritesh AjoodhaDepartment of Computer Computer Science, WITS UniversityVerified email at wits.ac.za
Adam EarleUniversity of the WitwatersrandVerified email at students.wits.ac.za
Osamu Hasegawa （長谷川修）SOINN Inc., CEO, FounderVerified email at soinn.com
Ndivhuwo MakondoResearch Scientist, IBM ResearchVerified email at ibm.com
Majd HawaslyFiveVerified email at five.ai
Benjamin van NiekerkStellenbosch UniversityVerified email at students.wits.ac.za
Andrew SaxeGatsby Unit & Sainsbury Wellcome Centre, UCLVerified email at ucl.ac.uk
Sahin AlbayrakProfessur für Informatik, Technische Universität BerlinVerified email at dai-labor.de
Orhan Can GörürPostdoctoral Researcher at Technische Universität BerlinVerified email at tu-berlin.de
Pushmeet KohliDeepMindVerified email at google.com
Pravesh RanchodUniversity of the WitwatersrandVerified email at wits.ac.za
Geraud Nangue TasseUniversity of the WitwatersrandVerified email at students.wits.ac.za
Beatrice van EdenResearcher at the CSIR - Council for Scientific and Industrial ResearchVerified email at csir.co.za
Luis Enrique SucarSenior Research Scientist, INAOE, MexicoVerified email at inaoep.mx
Enrique Munoz de CoteProfessor of Computer Science at INAOE; CSO @ People & AI; past: Director at SecondmindVerified email at people-ai.com
Matthew E. TaylorAssociate Professor, University of AlbertaVerified email at ualberta.ca
Pablo Hernandez-LealQuantfuryVerified email at quantfury.com

Benjamin Rosman

Associate Professor at the University of the Witwatersrand, South Africa

Verified email at wits.ac.za - Homepage

Robotics Artificial Intelligence Machine Learning Decision Making Reinforcement Learning


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Learning spatial relationships between objects B Rosman, S Ramamoorthy The International Journal of Robotics Research 30 (11), 1328-1342, 2011	105	2011
Bayesian policy reuse B Rosman, M Hawasly, S Ramamoorthy Machine Learning 104 (1), 99-127, 2016	69	2016
Fingerprint minutiae extraction using deep learning LN Darlow, B Rosman 2017 IEEE International Joint Conference on Biometrics (IJCB), 22-30, 2017	54	2017
Nonparametric bayesian reward segmentation for skill discovery using inverse reinforcement learning P Ranchod, B Rosman, G Konidaris 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015	49	2015
An analysis of monte carlo tree search S James, G Konidaris, B Rosman Thirty-First AAAI Conference on Artificial Intelligence, 2017	46	2017
Symbol emergence in cognitive developmental systems: a survey T Taniguchi, E Ugur, M Hoffmann, L Jamone, T Nagai, B Rosman, ... IEEE transactions on Cognitive and Developmental Systems 11 (4), 494-516, 2018	45	2018
Belief reward shaping in reinforcement learning O Marom, B Rosman Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	43	2018
Toward integrating Theory of Mind into adaptive decision-making of social robots to understand human intention OC Görür, BS Rosman, G Hoffman, S Albayrak	34	2017
Language performance at high school and success in first year computer science S Rauchas, B Rosman, G Konidaris, I Sanders ACM SIGCSE Bulletin 38 (1), 398-402, 2006	34	2006
What good are actions? Accelerating learning using learned action priors B Rosman, S Ramamoorthy 2012 IEEE International Conference on Development and Learning and …, 2012	33	2012
Identifying and tracking switching, non-stationary opponents: A Bayesian approach P Hernandez-Leal, ME Taylor, B Rosman, LE Sucar, EM De Cote Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016	27	2016
Composing value functions in reinforcement learning B Van Niekerk, S James, A Earle, B Rosman International Conference on Machine Learning, 6401-6409, 2019	26*	2019
Hierarchy through composition with multitask LMDPs AM Saxe, AC Earle, B Rosman International Conference on Machine Learning, 3017-3026, 2017	26	2017
Clustering markov decision processes for continual transfer MM Mahmud, M Hawasly, B Rosman, S Ramamoorthy arXiv preprint arXiv:1311.3959, 2013	26*	2013
Knowledge transfer for learning robot models via local procrustes analysis N Makondo, B Rosman, O Hasegawa 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids …, 2015	25	2015
Single-labelled music genre classification using content-based features R Ajoodha, R Klein, B Rosman 2015 Pattern Recognition Association of South Africa and Robotics and …, 2015	23	2015
Social cobots: Anticipatory decision-making for collaborative robots incorporating unexpected human behaviors OC Görür, B Rosman, F Sivrikaya, S Albayrak Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot …, 2018	21	2018
On user behaviour adaptation under interface change B Rosman, S Ramamoorthy, MMH Mahmud, P Kohli Proceedings of the 19th international conference on Intelligent User …, 2014	21	2014
Learning portable representations for high-level planning S James, B Rosman, G Konidaris International Conference on Machine Learning, 4682-4691, 2020	17	2020
A Bayesian approach for learning and tracking switching, non-stationary opponents P Hernandez-Leal, B Rosman, ME Taylor, LE Sucar, E Munoz de Cote Proceedings of the 2016 International Conference on Autonomous Agents …, 2016	16	2016

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