Value function approximation in reinforcement learning using the Fourier basis G Konidaris, S Osentoski, P Thomas Proceedings of the AAAI conference on artificial intelligence 25 (1), 380-385, 2011 | 551 | 2011 |
Rosbridge: Ros for non-ros users C Crick, G Jay, S Osentoski, B Pitzer, OC Jenkins Robotics research: The 15th international symposium ISRR, 493-504, 2017 | 286 | 2017 |
Learning grounded finite-state representations from unstructured demonstrations S Niekum, S Osentoski, G Konidaris, S Chitta, B Marthi, AG Barto The International Journal of Robotics Research 34 (2), 131-157, 2015 | 256 | 2015 |
Learning and generalization of complex tasks from unstructured demonstrations S Niekum, S Osentoski, G Konidaris, AG Barto 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 243 | 2012 |
Incremental Semantically Grounded Learning from Demonstration. S Niekum, S Chitta, AG Barto, B Marthi, S Osentoski Robotics: Science and Systems 9, 10-15607, 2013 | 156 | 2013 |
Robot web tools: Efficient messaging for cloud robotics R Toris, J Kammerl, DV Lu, J Lee, OC Jenkins, S Osentoski, M Wills, ... 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015 | 121 | 2015 |
Active articulation model estimation through interactive perception K Hausman, S Niekum, S Osentoski, GS Sukhatme 2015 IEEE International Conference on Robotics and Automation (ICRA), 3305-3312, 2015 | 105 | 2015 |
Human and robot perception in large-scale learning from demonstration C Crick, S Osentoski, G Jay, OC Jenkins Proceedings of the 6th international conference on Human-robot interaction …, 2011 | 86 | 2011 |
ROS and rosbridge: Roboticists out of the loop C Crick, G Jay, S Osentoski, OC Jenkins Proceedings of the seventh annual ACM/IEEE international conference on Human …, 2012 | 78 | 2012 |
Robots as web services: Reproducible experimentation and application development using rosjs S Osentoski, G Jay, C Crick, B Pitzer, C DuHadway, OC Jenkins 2011 IEEE International Conference on Robotics and Automation, 6078-6083, 2011 | 72 | 2011 |
Learning from demonstration using a multi-valued function regressor for time-series data J Butterfield, S Osentoski, G Jay, OC Jenkins 2010 10th IEEE-RAS International Conference on Humanoid Robots, 328-333, 2010 | 65 | 2010 |
Online bayesian changepoint detection for articulated motion models S Niekum, S Osentoski, CG Atkeson, AG Barto 2015 IEEE international conference on robotics and automation (ICRA), 1468-1475, 2015 | 59 | 2015 |
Learning hierarchical models of activity S Osentoski, V Manfredi, S Mahadevan 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2004 | 56 | 2004 |
Pr2 remote lab: An environment for remote development and experimentation B Pitzer, S Osentoski, G Jay, C Crick, OC Jenkins 2012 IEEE International Conference on Robotics and Automation, 3200-3205, 2012 | 55 | 2012 |
Remote Robotic Laboratories for Learning from Demonstration: Enabling user interaction and shared experimentation S Osentoski, B Pitzer, C Crick, G Jay, S Dong, D Grollman, HB Suay, ... International Journal of Social Robotics 4, 449-461, 2012 | 42 | 2012 |
Learning representation and control in continuous Markov decision processes S Mahadevan, M Maggioni, K Ferguson, S Osentoski AAAI 6, 1194-1199, 2006 | 37 | 2006 |
Recasting robotics challenges as experiments M Anderson, OC Jenkins, S Osentoski IEEE Robotics and Automation Magazine 18 (2), 10-11, 2011 | 31 | 2011 |
Emotive robotic creature K Hsiao, D Dooley, S Osentoski US Patent App. 29/587,060, 2018 | 29 | 2018 |
Robotic creature S Osentoski, J Morenstein, C Hibmacronan, CS Ross, S Lee, K Hsiao, ... US Patent App. 29/587,059, 2018 | 28 | 2018 |
Learning state-action basis functions for hierarchical MDPs S Osentoski, S Mahadevan Proceedings of the 24th international conference on machine learning, 705-712, 2007 | 24 | 2007 |