Goal misgeneralisation is a key challenge in AI alignment -- the task of getting powerful Artificial Intelligences to align their goals with human intentions and human morality. In this paper, we show how the ACE (Algorithm for Concept Extrapolation) agent can solve one of the key standard challenges in goal misgeneralisation: the CoinRun challenge. It uses no new reward information in the new environment. This points to how autonomous agents could be trusted to act in human interests, even in novel and critical situations.
Cite
@article{arxiv.2309.16166,
title = {CoinRun: Solving Goal Misgeneralisation},
author = {Stuart Armstrong and Alexandre Maranhão and Oliver Daniels-Koch and Patrick Leask and Rebecca Gorman},
journal= {arXiv preprint arXiv:2309.16166},
year = {2023}
}