| 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 | 482 | 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 | 135 | 2013 |
| 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 | 98 | 2012 |
| SCRAM: Scalable collision-avoiding role assignment with minimal-makespan for formational positioning P MacAlpine, E Price, P Stone Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 77 | 2015 |
| On optimizing interdependent skills: a case study in simulated 3D humanoid robot soccer. D Urieli, P MacAlpine, S Kalyanakrishnan, Y Bentor, P Stone AAMAS 11, 769, 2011 | 72 | 2011 |
| Overlapping layered learning P MacAlpine, P Stone Artificial Intelligence 254, 21-43, 2018 | 70 | 2018 |
| 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 | 57 | 2012 |
| Positioning to win: A dynamic role assignment and formation positioning system P MacAlpine, F Barrera, P Stone RoboCup 2012: Robot Soccer World Cup XVI 16, 190-201, 2013 | 54 | 2013 |
| UT Austin Villa 2014: RoboCup 3D simulation league champion via overlapping layered learning P MacAlpine, M Depinet, P Stone Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 48 | 2015 |
| Keyframe sampling, optimization, and behavior integration: Towards long-distance kicking in the robocup 3d simulation league M Depinet, P MacAlpine, P Stone RoboCup 2014: Robot World Cup XVIII 18, 571-582, 2015 | 45 | 2015 |
| Variety wins: Soccer-playing robots and infant walking O Ossmy, JE Hoch, P MacAlpine, S Hasan, P Stone, KE Adolph Frontiers in Neurorobotics 12, 19, 2018 | 41 | 2018 |
| A study of layered learning strategies applied to individual behaviors in robot soccer DL Leottau, J Ruiz-del-Solar, P MacAlpine, P Stone RoboCup 2015: Robot World Cup XIX 19, 290-302, 2015 | 32 | 2015 |
| UT Austin Villa: RoboCup 2012 3D simulation league champion P MacAlpine, N Collins, A Lopez-Mobilia, P Stone RoboCup 2012: Robot Soccer World Cup XVI 16, 77-88, 2013 | 32 | 2013 |
| UT Austin Villa robocup 3D simulation base code release P MacAlpine, P Stone RoboCup 2016: Robot World Cup XX 20, 135-143, 2017 | 31 | 2017 |
| Cross-trajectory representation learning for zero-shot generalization in rl B Mazoure, AM Ahmed, P MacAlpine, RD Hjelm, A Kolobov arXiv preprint arXiv:2106.02193, 2021 | 29 | 2021 |
| 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 | 29 | 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 | 29 | 2011 |
| Measuring sample efficiency and generalization in reinforcement learning benchmarks: Neurips 2020 procgen benchmark S Mohanty, J Poonganam, A Gaidon, A Kolobov, B Wulfe, D Chakraborty, ... arXiv preprint arXiv:2103.15332, 2021 | 24 | 2021 |
| UT Austin Villa: RoboCup 2017 3D simulation league competition and technical challenges champions P MacAlpine, P Stone Robot World Cup, 473-485, 2017 | 24 | 2017 |
| UT Austin Villa: RoboCup 2014 3D simulation league competition and technical challenge champions P MacAlpine, M Depinet, J Liang, P Stone RoboCup 2014: Robot World Cup XVIII 18, 33-46, 2015 | 24 | 2015 |
Peter StoneProfessor of Computer Science, The University of Texas at AustinPatvirtintas el. paštas cs.utexas.edu
