Search Results for author: Rachel Craddock

Found 1 papers, 0 papers with code

Reward Learning with Trees: Methods and Evaluation

no code implementations3 Oct 2022 Tom Bewley, Jonathan Lawry, Arthur Richards, Rachel Craddock, Ian Henderson

Recent efforts to learn reward functions from human feedback have tended to use deep neural networks, whose lack of transparency hampers our ability to explain agent behaviour or verify alignment.

Cannot find the paper you are looking for? You can Submit a new open access paper.