| Learning and Generalization of Complex Tasks from Unstructured Demonstrations S Niekum, S Osentoski, G Konidaris, AG Barto IEEE/RSJ International Conference on Intelligent Robots and Systems, 5239-5246, 2012 | 177 | 2012 |
| 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 | 162 | 2015 |
| Safe reinforcement learning via shielding M Alshiekh, R Bloem, R Ehlers, B Könighofer, S Niekum, U Topcu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 154 | 2018 |
| Incremental Semantically Grounded Learning from Demonstration S Niekum, S Chitta, B Marthi, S Osentoski, AG Barto Robotics: Science and Systems 2013, 2013 | 115 | 2013 |
| Automatic detection and classification of geological features of interest DR Thompson, S Niekum, T Smith, D Wettergreen Proceedings of the IEEE Aerospace Conference, 2005 | 61* | 2005 |
| 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 | 49 | 2015 |
| Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations D Brown, W Goo, P Nagarajan, S Niekum International Conference on Machine Learning, 2019 | 45 | 2019 |
| Genetic programming for reward function search S Niekum, AG Barto, L Spector IEEE Transactions on Autonomous Mental Development 2 (2), 83-90, 2010 | 45 | 2010 |
| A review of robot learning for manipulation: Challenges, representations, and algorithms O Kroemer, S Niekum, G Konidaris arXiv preprint arXiv:1907.03146, 2019 | 40 | 2019 |
| Bootstrapping with models: Confidence intervals for off-policy evaluation J Hanna, P Stone, S Niekum Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 31 | 2017 |
| 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 | 31 | 2015 |
| Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications D Brown, S Niekum AAAI Conference on Artificial Intelligence, 2019 | 30 | 2019 |
| A Markov chain Monte Carlo approach to closing the loop in SLAM M Kaess, F Dellaert Proceedings of the 2005 IEEE International Conference on Robotics and …, 2005 | 30 | 2005 |
| Using Natural Language for Reward Shaping in Reinforcement Learning P Goyal, S Niekum, R Mooney International Joint Conference on Artificial Intelligence, 2019 | 28 | 2019 |
| Active reward learning from critiques Y Cui, S Niekum 2018 IEEE International Conference on Robotics and Automation (ICRA), 6907-6914, 2018 | 28 | 2018 |
| Dynamic cascades with bidirectional bootstrapping for spontaneous facial action unit detection Y Zhu, F De la Torre, JF Cohn, YJ Zhang 2009 3rd international conference on affective computing and intelligent …, 2009 | 28 | 2009 |
| Risk-Aware Active Inverse Reinforcement Learning D Brown, Y Cui, S Niekum Conference on Robot Learning, 2018 | 25 | 2018 |
| Td_gamma: Re-evaluating complex backups in temporal difference learning G Konidaris, S Niekum, PS Thomas Advances in Neural Information Processing Systems, 2402-2410, 2011 | 25 | 2011 |
| Importance Sampling Policy Evaluation with an Estimated Behavior Policy J Hanna, S Niekum, P Stone International Conference on Machine Learning, 2019 | 23 | 2019 |
| Efficient probabilistic performance bounds for inverse reinforcement learning D Brown, S Niekum Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 20 | 2018 |
Andrew BartoUniversity of Massachusetts AmherstVerified email at cs.umass.edu
