引用次数
引用: 4,716
H-指数: 34
I10-指数 : 62
出版物: 112
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations
Scott Niekum , Daniel S. Brown , Wonjoon Goo
Conference on Robot Learning 330 -359
101
2019
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Scott Niekum , Ravi Srinivasan , Daniel Brown , Russell Coleman
international conference on machine learning 1 1165 -1177
70
2020
PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards
Scott Niekum , Raymond J. Mooney , Prasoon Goyal
arXiv: Learning
19
2020
ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory.
Ajinkya Jain , Rudolf Lioutikov , Caleb Chuck , Scott Niekum
arXiv: Robotics
38
2020
The EMPATHIC Framework for Task Learning from Implicit Human Feedback.
Scott Niekum , Alessandro Allievi , Peter Stone , W. Bradley Knox
arXiv: Human-Computer Interaction
31
2020
Bayesian Robust Optimization for Imitation Learning
Marek Petrik , Scott Niekum , Daniel S. Brown
neural information processing systems 33 2479 -2491
20
2020
Value Alignment Verification.
Daniel S Brown , Jordan Schneider , Anca Dragan , Scott Niekum
arXiv: Learning
13
2020
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
George Dimitri Konidaris , Scott Niekum , Oliver Kroemer
Journal of Machine Learning Research 22 ( 30) 1 -82
224
2021
SCAPE: Learning Stiffness Control from Augmented Position Control Experiences.
Scott Niekum , Ashish D. Deshpande , Mincheol Kim
arXiv: Robotics
2
2021
Self-Supervised Online Reward Shaping in Sparse-Reward Environments.
Rudolf Lioutikov , Scott Niekum , Ufuk Topcu , Wonjoon Goo
arXiv: Learning
16
2021
Learning Hybrid Object Kinematics for Efficient Hierarchical Planning Under Uncertainty
Scott Niekum , Ajinkya Jain
intelligent robots and systems 5253 -5260
3
2020
Universal Off-Policy Evaluation.
Erik G. Learned-Miller , Emma Brunskill , Scott Niekum , Bruno Castro da Silva
arXiv: Learning
31
2021
Importance sampling in reinforcement learning with an estimated behavior policy
Scott Niekum , Peter Stone , Josiah P. Hanna
Machine Learning
17
2021
Adversarial Intrinsic Motivation for Reinforcement Learning.
Scott Niekum , Peter Stone , Ishan Durugkar , Mauricio Tec
arXiv: Learning
8
2021
Incremental Semantically Grounded Learning from Demonstration
Scott Niekum , Sachin Chitta , Andrew Barto , Bhaskara Marthi
robotics science and systems 09
134
2013
Learning grounded finite-state representations from unstructured demonstrations
Scott Niekum , Sarah Osentoski , George Konidaris , Sachin Chitta
The International Journal of Robotics Research 34 ( 2) 131 -157
110
2015
Genetic Programming for Reward Function Search
Scott Niekum , Andrew G Barto , Lee Spector
IEEE Transactions on Autonomous Mental Development 2 ( 2) 83 -90
41
2010
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
Daniel S. Brown , Scott Niekum
national conference on artificial intelligence 33 ( 01) 7749 -7758
28
2019
Online Bayesian changepoint detection for articulated motion models
Scott Niekum , Sarah Osentoski , Christopher G. Atkeson , Andrew G. Barto
international conference on robotics and automation 1468 -1475
28
2015
Active articulation model estimation through interactive perception
Karol Hausman , Scott Niekum , Sarah Osentoski , Gaurav S. Sukhatme
international conference on robotics and automation 3305 -3312
42
2015