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Learning Reward Functions from Diverse Sources of Human Feedback:
  Optimally Integrating Demonstrations and Preferences

Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences

24 June 2020
Erdem Biyik
Dylan P. Losey
Malayandi Palan
Nicholas C. Landolfi
Gleb Shevchuk
Dorsa Sadigh
ArXivPDFHTML

Papers citing "Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences"

15 / 15 papers shown
Title
Optimal Interactive Learning on the Job via Facility Location Planning
Optimal Interactive Learning on the Job via Facility Location Planning
Shivam Vats
Michelle Zhao
Patrick Callaghan
Mingxi Jia
Maxim Likhachev
Oliver Kroemer
George Konidaris
29
0
0
01 May 2025
Reinforcement Learning from Multi-level and Episodic Human Feedback
Reinforcement Learning from Multi-level and Episodic Human Feedback
Muhammad Qasim Elahi
Somtochukwu Oguchienti
Maheed H. Ahmed
Mahsa Ghasemi
OffRL
44
0
0
20 Apr 2025
Learning to Assist Humans without Inferring Rewards
Learning to Assist Humans without Inferring Rewards
Vivek Myers
Evan Ellis
Sergey Levine
Benjamin Eysenbach
Anca Dragan
28
2
0
17 Jan 2025
Multi-Type Preference Learning: Empowering Preference-Based
  Reinforcement Learning with Equal Preferences
Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences
Z. Liu
Junjie Xu
Xingjiao Wu
J. Yang
Liang He
21
0
0
11 Sep 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
Haozhe Ma
Zhengding Luo
Thanh Vinh Vo
Kuankuan Sima
Tze-Yun Leong
29
4
0
06 Aug 2024
Learning Reward for Robot Skills Using Large Language Models via
  Self-Alignment
Learning Reward for Robot Skills Using Large Language Models via Self-Alignment
Yuwei Zeng
Yao Mu
Lin Shao
23
12
0
12 May 2024
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
Calarina Muslimani
M. E. Taylor
OffRL
38
2
0
30 Apr 2024
A Generalized Acquisition Function for Preference-based Reward Learning
A Generalized Acquisition Function for Preference-based Reward Learning
Evan Ellis
Gaurav R. Ghosal
Stuart J. Russell
Anca Dragan
Erdem Biyik
26
1
0
09 Mar 2024
The Role of Higher-Order Cognitive Models in Active Learning
The Role of Higher-Order Cognitive Models in Active Learning
Oskar Keurulainen
G. Alcan
Ville Kyrki
33
0
0
09 Jan 2024
Rating-based Reinforcement Learning
Rating-based Reinforcement Learning
Devin White
Mingkang Wu
Ellen R. Novoseller
Vernon J. Lawhern
Nicholas R. Waytowich
Yongcan Cao
ALM
11
6
0
30 Jul 2023
Learning Interpretable Models of Aircraft Handling Behaviour by
  Reinforcement Learning from Human Feedback
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback
Tom Bewley
J. Lawry
Arthur G. Richards
20
1
0
26 May 2023
A Ranking Game for Imitation Learning
A Ranking Game for Imitation Learning
Harshit S. Sikchi
Akanksha Saran
Wonjoon Goo
S. Niekum
OffRL
12
21
0
07 Feb 2022
Communicating Inferred Goals with Passive Augmented Reality and Active
  Haptic Feedback
Communicating Inferred Goals with Passive Augmented Reality and Active Haptic Feedback
J. F. Mullen
Josh Mosier
Sounak Chakrabarti
Anqi Chen
Tyler White
Dylan P. Losey
9
29
0
03 Sep 2021
Preference-Based Learning for Exoskeleton Gait Optimization
Preference-Based Learning for Exoskeleton Gait Optimization
Maegan Tucker
Ellen R. Novoseller
Claudia K. Kann
Yanan Sui
Yisong Yue
J. W. Burdick
Aaron D. Ames
58
89
0
26 Sep 2019
Early Detection of Combustion Instabilities using Deep Convolutional
  Selective Autoencoders on Hi-speed Flame Video
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video
Chandrayee Basu
Qian Yang
M. Singhal
Anca Dragan
47
174
0
25 Mar 2016
1