Scott Niekum
Title
Cited by
Cited by
Year
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
1722012
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
1572015
Safe reinforcement learning via shielding
M Alshiekh, R Bloem, R Ehlers, B Könighofer, S Niekum, U Topcu
arXiv preprint arXiv:1708.08611, 2017
1402017
Incremental Semantically Grounded Learning from Demonstration
S Niekum, S Chitta, B Marthi, S Osentoski, AG Barto
Robotics: Science and Systems 2013, 2013
1122013
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
462015
Genetic programming for reward function search
S Niekum, AG Barto, L Spector
IEEE Transactions on Autonomous Mental Development 2 (2), 83-90, 2010
452010
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
D Brown, W Goo, P Nagarajan, S Niekum
International Conference on Machine Learning, 2019
412019
A review of robot learning for manipulation: Challenges, representations, and algorithms
O Kroemer, S Niekum, G Konidaris
arXiv preprint arXiv:1907.03146, 2019
362019
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
302015
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
302005
Bootstrapping with models: Confidence intervals for off-policy evaluation
JP Hanna, P Stone, S Niekum
arXiv preprint arXiv:1606.06126, 2016
292016
Active reward learning from critiques
Y Cui, S Niekum
2018 IEEE International Conference on Robotics and Automation (ICRA), 6907-6914, 2018
272018
Using Natural Language for Reward Shaping in Reinforcement Learning
P Goyal, S Niekum, R Mooney
International Joint Conference on Artificial Intelligence, 2019
262019
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
D Brown, S Niekum
AAAI Conference on Artificial Intelligence, 2019
262019
Risk-Aware Active Inverse Reinforcement Learning
D Brown, Y Cui, S Niekum
Conference on Robot Learning, 2018
252018
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
212011
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
J Hanna, S Niekum, P Stone
International Conference on Machine Learning, 2019
202019
Efficient probabilistic performance bounds for inverse reinforcement learning
DS Brown, S Niekum
arXiv preprint arXiv:1707.00724, 2017
192017
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
S Niekum, AG Barto
Advances in Neural Information Processing Systems 24, 1818-1826, 2011
192011
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Articles 1–20