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2011.06709
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Active Reinforcement Learning: Observing Rewards at a Cost
13 November 2020
David M. Krueger
Jan Leike
Owain Evans
J. Salvatier
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Papers citing
"Active Reinforcement Learning: Observing Rewards at a Cost"
10 / 10 papers shown
Title
Batch Active Learning of Reward Functions from Human Preferences
Erdem Biyik
Nima Anari
Dorsa Sadigh
85
9
0
24 Feb 2024
Reinforcement Learning from Human Feedback with Active Queries
Kaixuan Ji
Jiafan He
Quanquan Gu
100
19
0
14 Feb 2024
Scientific Discovery and the Cost of Measurement -- Balancing Information and Cost in Reinforcement Learning
C. Bellinger
Andriy Drozdyuk
Mark Crowley
Isaac Tamblyn
OffRL
33
7
0
14 Dec 2021
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges
Xin Chen
Guannan Qu
Yujie Tang
S. Low
Na Li
77
237
0
27 Jan 2021
AI Research Considerations for Human Existential Safety (ARCHES)
Andrew Critch
David M. Krueger
109
53
0
30 May 2020
Active Measure Reinforcement Learning for Observation Cost Minimization
C. Bellinger
Rory Coles
Mark Crowley
Isaac Tamblyn
OffRL
35
24
0
26 May 2020
Scalable agent alignment via reward modeling: a research direction
Jan Leike
David M. Krueger
Tom Everitt
Miljan Martic
Vishal Maini
Shane Legg
124
420
0
19 Nov 2018
Batch Active Preference-Based Learning of Reward Functions
Erdem Biyik
Dorsa Sadigh
115
113
0
10 Oct 2018
Active Reinforcement Learning with Monte-Carlo Tree Search
Sebastian Schulze
Owain Evans
57
14
0
13 Mar 2018
Trial without Error: Towards Safe Reinforcement Learning via Human Intervention
William Saunders
Girish Sastry
Andreas Stuhlmuller
Owain Evans
OffRL
74
231
0
17 Jul 2017
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