Samuel Barrett

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Peter StoneProfessor of Computer Science, The University of Texas at AustinPatvirtintas el. paštas cs.utexas.edu
Patrick MacAlpinePostdoctoral Fellow, University of Texas at AustinPatvirtintas el. paštas cs.utexas.edu
Sarit KrausProfessor Of Computer Science, Bar-Ilan UniversityPatvirtintas el. paštas cs.biu.ac.il
Daniel UrieliGM ResearchPatvirtintas el. paštas cs.utexas.edu
Avi RosenfeldAssociate Professor, Jerusalem College of TechnologyPatvirtintas el. paštas jct.ac.il
Piyush KhandelwalSenior Research Scientist, Sony AIPatvirtintas el. paštas sony.com
Todd HesterWaymoPatvirtintas el. paštas waymo.com
Noa AgmonAssociate Professor, Bar-Ilan University, IsraelPatvirtintas el. paštas cs.biu.ac.il
Shivaram KalyanakrishnanIndian Institute of Technology BombayPatvirtintas el. paštas cse.iitb.ac.in
Yuchen HEUniversity of Illinois, Urbana ChampaignPatvirtintas el. paštas illinois.edu
Matthew E. TaylorAssociate Professor, University of AlbertaPatvirtintas el. paštas ualberta.ca
Xiaojun QiProfessor of Computer Science, Utah State UniversityPatvirtintas el. paštas usu.edu
Mohan SridharanReader in Cognitive Robot Systems, School of Computer Science, University of Birmingham (UK)Patvirtintas el. paštas bham.ac.uk
Noam HazonAssociate professor, Ariel UniversityPatvirtintas el. paštas ariel.ac.il
Jeffrey V. NickersonStevens Institute of TechnologyPatvirtintas el. paštas stevens.edu

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Samuel Barrett

Senior Research Scientist at Sony AI

Patvirtintas el. paštas sony.com - Pagrindinis puslapis

Ad hoc teamwork multiagent systems artificial intelligence robotics machine learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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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