Benjamin Rosman

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Steven JamesUniversity of the WitwatersrandVerified email at wits.ac.za
Subramanian RamamoorthyProfessor of Robot Learning and Autonomy, School of Informatics, University of EdinburghVerified email at ed.ac.uk
Geraud Nangue TasseUniversity of the WitwatersrandVerified email at students.wits.ac.za
George KonidarisBrownVerified email at cs.brown.edu
Adam EarleUniversity of the WitwatersrandVerified email at students.wits.ac.za
Ritesh AjoodhaAssociate Professor at the University of the Witwatersrand.Verified email at wits.ac.za
Andrew SaxeProfessor, Gatsby Unit & Sainsbury Wellcome Centre, UCLVerified email at ucl.ac.uk
Branden IngramLecturer, University of WitwatersrandVerified email at wits.ac.za
Benjamin van NiekerkStellenbosch UniversityVerified email at sun.ac.za
Pravesh RanchodUniversity of the WitwatersrandVerified email at wits.ac.za
Ndivhuwo MAKONDOIBM Research - Africa & University of the WitwatersrandVerified email at ibm.com
Sahin AlbayrakProfessur für Informatik, Technische Universität BerlinVerified email at dai-labor.de
Orhan Can GörürDev Manager & Senior Robotics Architect at Micropsi-Industries GmbHVerified email at micropsi-industries.com
Majd HawaslyQCRI, Hamad Bin Khalifa UniversityVerified email at hbku.edu.qa
Devon JarvisUniversity of the WitwatersrandVerified email at wits.ac.za
Osamu Hasegawa （長谷川修）SOINN Inc., CEO, FounderVerified email at soinn.com
Mary CarmanLecturer, University of the WitwatersrandVerified email at wits.ac.za
Beatrice van EdenResearcher at the CSIR - Council for Scientific and Industrial ResearchVerified email at csir.co.za
Pushmeet KohliDeepMindVerified email at google.com
Michael BeukmanPhD Student, University of OxfordVerified email at eng.ox.ac.uk

Benjamin Rosman

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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning spatial relationships between objects B Rosman, S Ramamoorthy The International Journal of Robotics Research 30 (11), 1328-1342, 2011	128	2011
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	113	2018
Fingerprint minutiae extraction using deep learning LN Darlow, B Rosman 2017 IEEE International Joint Conference on Biometrics (IJCB), 22-30, 2017	100	2017
Bayesian policy reuse B Rosman, M Hawasly, S Ramamoorthy Machine Learning 104, 99-127, 2016	99	2016
Belief reward shaping in reinforcement learning O Marom, B Rosman Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	90	2018
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	82	2015
An analysis of monte carlo tree search S James, G Konidaris, B Rosman Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	81	2017
Fairness and accountability of AI in disaster risk management: Opportunities and challenges CM Gevaert, M Carman, B Rosman, Y Georgiadou, R Soden Patterns 2 (11), 2021	80	2021
Composing value functions in reinforcement learning B Van Niekerk, S James, A Earle, B Rosman International conference on machine learning, 6401-6409, 2019	68*	2019
A boolean task algebra for reinforcement learning G Nangue Tasse, S James, B Rosman Advances in Neural Information Processing Systems 33, 9497-9507, 2020	66	2020
Toward integrating theory of mind into adaptive decision-making of social robots to understand human intention OC Görür, BS Rosman, G Hoffman, S Albayrak	63	2017
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	55	2018
A remote sensing method to monitor water, aquatic vegetation, and invasive water hyacinth at national extents G Singh, C Reynolds, M Byrne, B Rosman Remote Sensing 12 (24), 4021, 2020	54	2020
Learning portable representations for high-level planning S James, B Rosman, G Konidaris International Conference on Machine Learning, 4682-4691, 2020	51	2020
Applying a principle of explicability to AI research in Africa: should we do it? M Carman, B Rosman Conversations on African Philosophy of Mind, Consciousness and Artificial …, 2023	48	2023
Hierarchy through composition with multitask LMDPs AM Saxe, AC Earle, B Rosman International Conference on Machine Learning, 3017-3026, 2017	48	2017
What good are actions? Accelerating learning using learned action priors B Rosman, S Ramamoorthy 2012 IEEE International Conference on Development and Learning and …, 2012	47	2012
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	44	2006
Identifying and tracking switching, non-stationary opponents: A Bayesian approach P Hernandez-Leal, ME Taylor, BS Rosman, LE Sucar, E Munoz de Cote Association for the Advancement of Artificial Intelligence (AAAI), 2016	39	2016
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	39	2015

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