| 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 | 150 | 2011 |
| 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 | 132 | 2022 |
| 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 | 117 | 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 | 94 | 2010 |
| 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 | 92 | 2013 |
| 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 | 90 | 2015 |
| 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 | 88 | 2012 |
| Making friends on the fly: Cooperating with new teammates S Barrett, A Rosenfeld, S Kraus, P Stone Artificial Intelligence 242, 132-171, 2017 | 84 | 2017 |
| 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 | 53 | 2012 |
| Communicating with Unknown Teammates. S Barrett, N Agmon, N Hazon, S Kraus, P Stone ECAI, 45-50, 2014 | 43 | 2014 |
| An analysis framework for ad hoc teamwork tasks S Barrett, P Stone Proceedings of the 11th International Conference on Autonomous Agents and …, 2012 | 38 | 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 | 32 | 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 |
| UT Austin Villa 2011: 3D Simulation Team Report P MacAlpine, D Urieli, S Barrett, F Barrera, A Lopez-Mobilia, V Vu, ... University of Texas at Austin Austin United States, 2011 | 28 | 2011 |
| Leading the way: An efficient multi-robot guidance system P Khandelwal, P Stone 2014 AAAI Fall Symposium Series, 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 |
| Modeling uncertainty in leading ad hoc teams N Agmon, S Barrett, P Stone Proceedings of the 2014 international conference on Autonomous agents and …, 2014 | 23 | 2014 |
| Optimizing sensor placement for intruder detection with genetic algorithms SR Barrett 2007 IEEE Intelligence and Security Informatics, 185-188, 2007 | 21 | 2007 |
| A fuzzy combined learning approach to content-based image retrieval S Barrett, R Chang, X Qi 2009 IEEE International Conference on Multimedia and Expo, 838-841, 2009 | 19 | 2009 |
| 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 | 18 | 2011 |
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
