Seguir
Samuel Barrett
Samuel Barrett
Senior Research Scientist at Sony AI
E-mail confirmado em sony.com - Página inicial
Título
Citado por
Citado por
Ano
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
2842022
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
1632011
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
1242013
Making friends on the fly: Cooperating with new teammates
S Barrett, A Rosenfeld, S Kraus, P Stone
Artificial Intelligence 242, 132-171, 2017
1132017
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
1092015
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
1002013
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
992010
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
922012
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
552012
Communicating with Unknown Teammates.
S Barrett, N Agmon, N Hazon, S Kraus, P Stone
ECAI, 45-50, 2014
502014
An analysis framework for ad hoc teamwork tasks
S Barrett, P Stone
Proceedings of the 11th International Conference on Autonomous Agents and …, 2012
422012
Learning teammate models for ad hoc teamwork
S Barrett, P Stone, S Kraus, A Rosenfeld
AAMAS Adaptive Learning Agents (ALA) Workshop, 57-63, 2012
362012
Leading the way: An efficient multi-robot guidance system
P Khandelwal, P Stone
2014 AAAI Fall Symposium Series, 2014
282014
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
282011
Modeling uncertainty in leading ad hoc teams
N Agmon, S Barrett, P Stone
Proceedings of the 2014 international conference on Autonomous agents and …, 2014
272014
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
262014
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
242012
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
222011
Optimizing sensor placement for intruder detection with genetic algorithms
SR Barrett
2007 IEEE Intelligence and Security Informatics, 185-188, 2007
212007
Controlled kicking under uncertainty
S Barrett, K Genter, T Hester, M Quinlan, P Stone
The Fifth Workshop on Humanoid Soccer Robots at Humanoids, 2010
182010
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–20