Samuel Barrett

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Peter StoneProfessor of Computer Science, The University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Patrick MacAlpinePostdoctoral Fellow, University of Texas at AustinDirección de correo verificada de cs.utexas.edu
Sarit KrausProfessor Of Computer Science, Bar-Ilan UniversityDirección de correo verificada de cs.biu.ac.il
Daniel UrieliGM ResearchDirección de correo verificada de cs.utexas.edu
Avi RosenfeldAssociate Professor, Jerusalem College of TechnologyDirección de correo verificada de jct.ac.il
Piyush KhandelwalSenior Research Scientist, Sony AIDirección de correo verificada de sony.com
Todd HesterWaymoDirección de correo verificada de waymo.com
Noa AgmonAssociate Professor, Bar-Ilan University, IsraelDirección de correo verificada de cs.biu.ac.il
Shivaram KalyanakrishnanIndian Institute of Technology BombayDirección de correo verificada de cse.iitb.ac.in
Yuchen HEUniversity of Illinois, Urbana ChampaignDirección de correo verificada de illinois.edu
Matthew E. TaylorAssociate Professor, University of AlbertaDirección de correo verificada de ualberta.ca
Xiaojun QiProfessor of Computer Science, Utah State UniversityDirección de correo verificada de usu.edu
Mohan SridharanReader in Cognitive Robot Systems, School of Computer Science, University of Birmingham (UK)Dirección de correo verificada de bham.ac.uk
Noam HazonAssociate professor, Ariel UniversityDirección de correo verificada de ariel.ac.il
Jeffrey V. NickersonStevens Institute of TechnologyDirección de correo verificada de stevens.edu

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Samuel Barrett

Senior Research Scientist at Sony AI

Dirección de correo verificada de sony.com - Página principal

Ad hoc teamwork multiagent systems artificial intelligence robotics machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Outracing champion Gran Turismo drivers with deep reinforcement learning PR Wurman, S Barrett, K Kawamoto, J MacGlashan, K Subramanian, ... Nature 602 (7896), 223-228, 2022	214	2022
Empirical evaluation of ad hoc teamwork in the pursuit domain S Barrett, P Stone, S Kraus The 10th International Conference on Autonomous Agents and Multiagent …, 2011	162	2011
Humanoid robots learning to walk faster: From the real world to simulation and back A Farchy, S Barrett, P MacAlpine, P Stone Proceedings of the 2013 international conference on Autonomous agents and …, 2013	124	2013
Making friends on the fly: Cooperating with new teammates S Barrett, A Rosenfeld, S Kraus, P Stone Artificial Intelligence 242, 132-171, 2017	107	2017
Cooperating with unknown teammates in complex domains: A robot soccer case study of ad hoc teamwork S Barrett, P Stone Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	104	2015
Teamwork with limited knowledge of teammates S Barrett, P Stone, S Kraus, A Rosenfeld Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 102-108, 2013	98	2013
Transfer learning for reinforcement learning on a physical robot S Barrett, ME Taylor, P Stone Ninth International Conference on Autonomous Agents and Multiagent Systems …, 2010	97	2010
Design and optimization of an omnidirectional humanoid walk: A winning approach at the RoboCup 2011 3D simulation competition P MacAlpine, S Barrett, D Urieli, V Vu, P Stone Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1047-1053, 2012	90	2012
UT Austin Villa 2011: a champion agent in the RoboCup 3D soccer simulation competition. P MacAlpine, D Urieli, S Barrett, S Kalyanakrishnan, F Barrera, ... AAMAS, 129-136, 2012	52	2012
Communicating with Unknown Teammates. S Barrett, N Agmon, N Hazon, S Kraus, P Stone ECAI, 45-50, 2014	49	2014
An analysis framework for ad hoc teamwork tasks S Barrett, P Stone Proceedings of the 11th International Conference on Autonomous Agents and …, 2012	40	2012
Learning teammate models for ad hoc teamwork S Barrett, P Stone, S Kraus, A Rosenfeld AAMAS Adaptive Learning Agents (ALA) Workshop, 57-63, 2012	38	2012
The RoboCup 2013 drop-in player challenges: Experiments in ad hoc teamwork P MacAlpine, K Genter, S Barrett, P Stone 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014	28	2014
Leading the way: An efficient multi-robot guidance system P Khandelwal, P Stone 2014 AAAI Fall Symposium Series, 2014	27	2014
UT Austin Villa 2011 3D simulation team report P MacAlpine, D Urieli, S Barrett, S Kalyanakrishnan, F Barrera, ... Technical Report AI11-10, The Univ. of Texas at Austin, Dept. of Computer …, 2011	27	2011
Modeling uncertainty in leading ad hoc teams N Agmon, S Barrett, P Stone Proceedings of the 2014 international conference on Autonomous agents and …, 2014	24	2014
UT Austin Villa 2012: Standard platform league world champions S Barrett, K Genter, Y He, T Hester, P Khandelwal, J Menashe, P Stone Robot Soccer World Cup, 36-47, 2012	24	2012
Ad hoc teamwork modeled with multi-armed bandits: An extension to discounted infinite rewards S Barrett, P Stone Proceedings of 2011 AAMAS workshop on adaptive and learning agents, 9-14, 2011	22	2011
Optimizing sensor placement for intruder detection with genetic algorithms SR Barrett 2007 IEEE Intelligence and Security Informatics, 185-188, 2007	21	2007
Controlled kicking under uncertainty S Barrett, K Genter, T Hester, M Quinlan, P Stone The Fifth Workshop on Humanoid Soccer Robots at Humanoids, 2010	19	2010

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