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Erik Jenner
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 8
Top Topics
State And Action Spaces
Reward Function
Markov Decision Processes
Imitation Learning
Top Venues
CoRR
ICLR
ICCV
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Publications
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Joar Skalse
,
Lucy Farnik
,
Sumeet Ramesh Motwani
,
Erik Jenner
,
Adam Gleave
,
Alessandro Abate
STARC: A General Framework For Quantifying Differences Between Reward Functions.
CoRR
(2023)
Erik Jenner
,
Adam Gleave
Preprocessing Reward Functions for Interpretability.
CoRR
(2022)
Erik Jenner
,
Herke van Hoof
,
Adam Gleave
Calculus on MDPs: Potential Shaping as a Gradient.
CoRR
(2022)
Erik Jenner
,
Maurice Weiler
Steerable Partial Differential Operators for Equivariant Neural Networks.
ICLR
(2022)
Adam Gleave
,
Mohammad Taufeeque
,
Juan Rocamonde
,
Erik Jenner
,
Steven H. Wang
,
Sam Toyer
,
Maximilian Ernestus
,
Nora Belrose
,
Scott Emmons
,
Stuart Russell
imitation: Clean Imitation Learning Implementations.
CoRR
(2022)
Erik Jenner
,
Enrique Fita Sanmartín
,
Fred A. Hamprecht
Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice.
ICCV
(2021)
Erik Jenner
,
Maurice Weiler
Steerable Partial Differential Operators for Equivariant Neural Networks.
CoRR
(2021)
Erik Jenner
,
Enrique Fita Sanmartín
,
Fred A. Hamprecht
Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice.
CoRR
(2021)