| Leveraging demonstrations for deep reinforcement learning on robotics problems with sparse rewards M Vecerik, T Hester, J Scholz, F Wang, O Pietquin, B Piot, N Heess, ... arXiv preprint arXiv:1707.08817, 2017 | 689 | 2017 |
| Policy shaping: Integrating human feedback with reinforcement learning S Griffith, K Subramanian, J Scholz, CL Isbell, AL Thomaz Advances in neural information processing systems 26, 2013 | 419 | 2013 |
| Overlapping and non-overlapping brain regions for theory of mind and self reflection in individual subjects R Saxe, JM Moran, J Scholz, J Gabrieli Social cognitive and affective neuroscience 1 (3), 229-234, 2006 | 341 | 2006 |
| Distinct regions of right temporo-parietal junction are selective for theory of mind and exogenous attention J Scholz, C Triantafyllou, S Whitfield-Gabrieli, EN Brown, R Saxe PloS one 4 (3), e4869, 2009 | 273 | 2009 |
| Brain regions for perceiving and reasoning about other people in school‐aged children RR Saxe, S Whitfield‐Gabrieli, J Scholz, KA Pelphrey Child development 80 (4), 1197-1209, 2009 | 270 | 2009 |
| The influence of prior record on moral judgment D Kliemann, L Young, J Scholz, R Saxe Neuropsychologia 46 (12), 2949-2957, 2008 | 128 | 2008 |
| Scaling data-driven robotics with reward sketching and batch reinforcement learning S Cabi, SG Colmenarejo, A Novikov, K Konyushkova, S Reed, R Jeong, ... arXiv preprint arXiv:1909.12200, 2019 | 110 | 2019 |
| Neural evidence for “intuitive prosecution”: The use of mental state information for negative moral verdicts L Young, J Scholz, R Saxe Social neuroscience 6 (3), 302-315, 2011 | 92 | 2011 |
| Cart pushing with a mobile manipulation system: Towards navigation with moveable objects J Scholz, S Chitta, B Marthi, M Likhachev 2011 IEEE International Conference on Robotics and Automation, 6115-6120, 2011 | 88 | 2011 |
| Pves: Position-velocity encoders for unsupervised learning of structured state representations R Jonschkowski, R Hafner, J Scholz, M Riedmiller arXiv preprint arXiv:1705.09805, 2017 | 69 | 2017 |
| A physics-based model prior for object-oriented mdps J Scholz, M Levihn, C Isbell, D Wingate International Conference on Machine Learning, 1089-1097, 2014 | 69 | 2014 |
| Combining motion planning and optimization for flexible robot manipulation J Scholz, M Stilman 2010 10th IEEE-RAS International Conference on Humanoid Robots, 80-85, 2010 | 50 | 2010 |
| Hierarchical decision theoretic planning for navigation among movable obstacles M Levihn, J Scholz, M Stilman Algorithmic Foundations of Robotics X: Proceedings of the Tenth Workshop on …, 2013 | 44 | 2013 |
| S3k: Self-supervised semantic keypoints for robotic manipulation via multi-view consistency M Vecerik, JB Regli, O Sushkov, D Barker, R Pevceviciute, T Rothörl, ... Conference on Robot Learning, 449-460, 2021 | 31 | 2021 |
| Generative predecessor models for sample-efficient imitation learning Y Schroecker, M Vecerik, J Scholz arXiv preprint arXiv:1904.01139, 2019 | 31 | 2019 |
| Planning with movable obstacles in continuous environments with uncertain dynamics M Levihn, J Scholz, M Stilman 2013 IEEE International Conference on Robotics and Automation, 3832-3838, 2013 | 28 | 2013 |
| A framework for data-driven robotics S Cabi, SG Colmenarejo, A Novikov, K Konyushkova, S Reed, R Jeong, ... arXiv preprint arXiv:1909.12200, 2019 | 27 | 2019 |
| Navigation Among Movable Obstacles with learned dynamic constraints J Scholz, N Jindal, M Levihn, CL Isbell, HI Christensen 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 19 | 2016 |
| Learning non-holonomic object models for mobile manipulation J Scholz, M Levihn, CL Isbell, H Christensen, M Stilman 2015 IEEE International Conference on Robotics and Automation (ICRA), 5531-5536, 2015 | 15 | 2015 |
| Optimizing data center controls using neural networks RA Evans, J Gao, MC Ryan, G Dulac-Arnold, JK Scholz, TA Hester US Patent 10,643,121, 2020 | 10 | 2020 |
Andrea ThomazInteractive Computing, Georgia Institute of TechnologyDirección de correo verificada de ece.utexas.edu
