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Including Uncertainty when Learning from Human Corrections
v1v2 (latest)

Including Uncertainty when Learning from Human Corrections

6 June 2018
Dylan P. Losey
M. O'Malley
ArXiv (abs)PDFHTML

Papers citing "Including Uncertainty when Learning from Human Corrections"

22 / 22 papers shown
PrioriTouch: Adapting to User Contact Preferences for Whole-Arm Physical Human-Robot Interaction
PrioriTouch: Adapting to User Contact Preferences for Whole-Arm Physical Human-Robot Interaction
Rishabh Madan
Jiawei Lin
Mahika Goel
Angchen Xie
Xiaoyu Liang
...
Rohan Banerjee
Jose Barreiros
Kate Tsui
Tom Silver
Tapomayukh Bhattacharjee
138
0
0
22 Sep 2025
PAC Apprenticeship Learning with Bayesian Active Inverse Reinforcement Learning
PAC Apprenticeship Learning with Bayesian Active Inverse Reinforcement Learning
Ondrej Bajgar
Dewi S.W. Gould
Jonathon Liu
Alessandro Abate
Konstantinos Gatsis
Michael A. Osborne
217
0
0
05 Aug 2025
Effects of Robot Competency and Motion Legibility on Human Correction Feedback
Effects of Robot Competency and Motion Legibility on Human Correction FeedbackIEEE/ACM International Conference on Human-Robot Interaction (HRI), 2025
Shuangge Wang
Anjiabei Wang
Sofiya Goncharova
Brian Scassellati
Tesca Fitzgerald
271
3
0
08 Jan 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference ElicitationIEEE/ACM International Conference on Human-Robot Interaction (HRI), 2025
N. Dennler
Stefanos Nikolaidis
Maja J. Matarić
930
1
0
03 Jan 2025
Safe MPC Alignment with Human Directional Feedback
Safe MPC Alignment with Human Directional Feedback
Zhixian Xie
Wenlong Zhang
Yi Ren
Zhaoran Wang
George J. Pappas
Wanxin Jin
288
2
0
05 Jul 2024
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous
  Manipulation
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous ManipulationConference on Robot Learning (CoRL), 2023
Zheyuan Hu
Aaron Rovinsky
Jianlan Luo
Vikash Kumar
Abhishek Gupta
Sergey Levine
OffRL
231
13
0
06 Sep 2023
Diagnosing and Augmenting Feature Representations in Correctional
  Inverse Reinforcement Learning
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning
Inês Lourenço
Andreea Bobu
C. Rojas
B. Wahlberg
229
0
0
11 Apr 2023
Aligning Robot and Human Representations
Aligning Robot and Human RepresentationsIEEE/ACM International Conference on Human-Robot Interaction (HRI), 2023
Andreea Bobu
Andi Peng
Pulkit Agrawal
Julie A. Shah
Anca D. Dragan
341
19
0
03 Feb 2023
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep
  Guidance
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep GuidanceIEEE International Conference on Robotics and Automation (ICRA), 2022
Kelvin Xu
Zheyuan Hu
Ria Doshi
Aaron Rovinsky
Vikash Kumar
Abhishek Gupta
Sergey Levine
186
30
0
19 Dec 2022
Active Exploration for Inverse Reinforcement Learning
Active Exploration for Inverse Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
David Lindner
Andreas Krause
Giorgia Ramponi
370
33
0
18 Jul 2022
Aligning Robot Representations with Humans
Aligning Robot Representations with Humans
Andreea Bobu
Andi Peng
180
0
0
15 May 2022
Learning from Physical Human Feedback: An Object-Centric One-Shot
  Adaptation Method
Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation MethodIEEE International Conference on Robotics and Automation (ICRA), 2022
Alvin C M Shek
Bo Ying Su
Rui Chen
Changliu Liu
194
6
0
09 Mar 2022
Learning Reward Functions from Scale Feedback
Learning Reward Functions from Scale Feedback
Nils Wilde
Erdem Biyik
Dorsa Sadigh
Stephen L. Smith
216
43
0
01 Oct 2021
Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics
Learning Online from Corrective Feedback: A Meta-Algorithm for Robotics
Matt Schmittle
Sanjiban Choudhury
S. Srinivasa
116
3
0
02 Apr 2021
Planning for Safe Abortable Overtaking Maneuvers in Autonomous Driving
Planning for Safe Abortable Overtaking Maneuvers in Autonomous DrivingInternational Conference on Intelligent Transportation Systems (ITSC), 2021
Jiyo Palatti
Andrei Aksjonov
G. Alcan
Ville Kyrki
257
36
0
31 Mar 2021
Learning from Human Directional Corrections
Learning from Human Directional CorrectionsIEEE Transactions on robotics (IEEE Trans. Robot.), 2020
Wanxin Jin
Todd Murphey
Zehui Lu
Shaoshuai Mou
432
22
0
30 Nov 2020
Active Preference Learning using Maximum Regret
Active Preference Learning using Maximum Regret
Nils Wilde
Dana Kulić
Stephen L. Smith
GP
234
49
0
08 May 2020
Reward-rational (implicit) choice: A unifying formalism for reward
  learning
Reward-rational (implicit) choice: A unifying formalism for reward learningNeural Information Processing Systems (NeurIPS), 2020
Hong Jun Jeon
S. Milli
Anca Dragan
360
194
0
12 Feb 2020
Quantifying Hypothesis Space Misspecification in Learning from
  Human-Robot Demonstrations and Physical Corrections
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical CorrectionsIEEE Transactions on robotics (IEEE Trans. Robot.), 2020
Andreea Bobu
Andrea V. Bajcsy
J. F. Fisac
Sampada Deglurkar
Anca Dragan
169
42
0
03 Feb 2020
Deep Reinforcement Learning with Feedback-based Exploration
Deep Reinforcement Learning with Feedback-based Exploration
Jan Scholten
Daan Wout
C. Celemin
Jens Kober
141
5
0
14 Mar 2019
Learning Gaussian Policies from Corrective Human Feedback
Learning Gaussian Policies from Corrective Human Feedback
Daan Wout
Jan Scholten
C. Celemin
Jens Kober
185
2
0
12 Mar 2019
Enabling Robots to Infer how End-Users Teach and Learn through
  Human-Robot Interaction
Enabling Robots to Infer how End-Users Teach and Learn through Human-Robot InteractionIEEE Robotics and Automation Letters (RA-L), 2019
Dylan P. Losey
M. O'Malley
174
13
0
02 Feb 2019
1
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