引用次数
引用: 4,716
H-指数: 34
I10-指数 : 62
出版物: 112
Concepts for science autonomy during robotic traverse and survey
T. Smith , S. Niekum , D. Thompson , D. Wettergreen
2005 IEEE Aerospace Conference 347 -355
10
2005
Automatic detection and classification of geological features of interest
DR Thompson , S Niekum , T Smith , D Wettergreen
IEEE Aerospace Conference Proceedings, Big Sky Montana
70
2005
Robot learning: Some recent examples
G Konidaris , S Kuindersma , S Niekum , R Grupen
Proceedings of the Sixteenth Yale Workshop on Adaptive and Learning Systems, Center for Systems Science, Department of Electrical Engineering, Yale University 71 -76
1
2013
Semantically grounded learning from unstructured demonstrations
Scott D Niekum
University of Massachusetts Amherst
9
2013
Evolved intrinsic reward functions for reinforcement learning
Scott Niekum
national conference on artificial intelligence 1955 -1956
1
2010
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning
George Konidaris , Scott Niekum , Philip S Thomas
neural information processing systems 24 2402 -2410
19
2011
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
Andrew G. Barto , Scott Niekum
neural information processing systems 24 1818 -1826
2
2011
Policy evaluation using the Ω-return
Georgios Theocharous , George Konidaris , Scott Niekum , Philip S. Thomas
neural information processing systems 28 334 -342
6
2015
On the analysis of complex backup strategies in Monte Carlo tree search
Scott Niekum , Peter Stone , Elad Liebman , Piyush Khandelwal
international conference on machine learning 1319 -1328
9
2016
Data-Efficient Policy Evaluation Through Behavior Policy Search
Scott Niekum , Peter Stone , Philip S. Thomas , Josiah P. Hanna
arXiv: Artificial Intelligence
34
2017
Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation.
Scott Niekum , Peter Stone , Josiah P. Hanna
national conference on artificial intelligence 4933 -4934
17
2017
Safe Reinforcement Learning via Shielding
Bettina Könighofer , Scott Niekum , Roderick Bloem , Ufuk Topcu
arXiv: Logic in Computer Science
454
2017
Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics
Scott Niekum , Ajinkya Jain
Conference on Robot Learning 757 -766
8
2018
One-Shot Learning of Multi-Step Tasks from Observation via Activity Localization in Auxiliary Video
Scott Niekum , Wonjoon Goo
arXiv: Learning
30
2018
Using Natural Language for Reward Shaping in Reinforcement Learning
Scott Niekum , Raymond J. Mooney , Prasoon Goyal
arXiv: Learning
93
2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
Scott Niekum , Daniel S. Brown , Wonjoon Goo , Prabhat Nagarajan
arXiv: Learning
216
2019
Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning
Scott Niekum , Supawit Chockchowwat , Caleb Chuck
arXiv: Learning
4
2019
Risk-Aware Active Inverse Reinforcement Learning
Scott Niekum , Daniel S. Brown , Yuchen Cui
Conference on Robot Learning 362 -372
53
2018
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
Scott Niekum , Peter Stone , Josiah P. Hanna
international conference on machine learning 2605 -2613
53
2018
Local Nonparametric Meta-Learning
Scott Niekum , Wonjoon Goo
arXiv: Learning
3
2020