Erik Jenner

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Imitation Learning

Reward Function

Top Venues

Publications

Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart Russell
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network. CoRR (2024)
Joar Max Viktor Skalse, Lucy Farnik, Sumeet Ramesh Motwani, Erik Jenner, Adam Gleave, Alessandro Abate
STARC: A General Framework For Quantifying Differences Between Reward Functions. ICLR (2024)
Shreyas Kapur, Erik Jenner, Stuart Russell
Diffusion On Syntax Trees For Program Synthesis. CoRR (2024)
Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Yoshua Bengio, Danqi Chen, Samuel Albanie, Tegan Maharaj, Jakob N. Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger
Foundational Challenges in Assuring Alignment and Safety of Large Language Models. CoRR (2024)
Leon Lang, Davis Foote, Stuart Russell, Anca D. Dragan, Erik Jenner, Scott Emmons
When Your AIs Deceive You: Challenges with Partial Observability of Human Evaluators in Reward Learning. CoRR (2024)
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)