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Misspecification in Inverse Reinforcement Learning

Misspecification in Inverse Reinforcement Learning

6 December 2022
Joar Skalse
Alessandro Abate
ArXivPDFHTML

Papers citing "Misspecification in Inverse Reinforcement Learning"

4 / 4 papers shown
Title
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning
Reduce, Reuse, Recycle: Categories for Compositional Reinforcement Learning
Georgios Bakirtzis
M. Savvas
Ruihan Zhao
Sandeep P. Chinchali
Ufuk Topcu
40
2
0
23 Aug 2024
Preserving the Privacy of Reward Functions in MDPs through Deception
Preserving the Privacy of Reward Functions in MDPs through Deception
Shashank Reddy Chirra
Pradeep Varakantham
P. Paruchuri
43
0
0
13 Jul 2024
Active teacher selection for reinforcement learning from human feedback
Active teacher selection for reinforcement learning from human feedback
Rachel Freedman
Justin Svegliato
K. H. Wray
Stuart J. Russell
31
6
0
23 Oct 2023
Defining and Characterizing Reward Hacking
Defining and Characterizing Reward Hacking
Joar Skalse
Nikolaus H. R. Howe
Dmitrii Krasheninnikov
David M. Krueger
59
56
0
27 Sep 2022
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