Deep Reinforcement Learning from Human Preferences. - Paul F. Christiano; Jan Leike; Tom B. Brown; Miljan Martic; Shane Legg; Dario Amodei (NIPS, 2017)

AI Safety Gridworlds. - Jan Leike; Miljan Martic; Victoria Krakovna; Pedro A. Ortega; Tom Everitt; Andrew Lefrancq; Laurent Orseau; Shane Legg (CoRR, 2017)

Measuring and avoiding side effects using relative reachability. - Victoria Krakovna; Laurent Orseau; Miljan Martic; Shane Legg (CoRR, 2018)

Scalable agent alignment via reward modeling: a research direction. - Jan Leike; David Krueger 001; Tom Everitt; Miljan Martic; Vishal Maini; Shane Legg (CoRR, 2018)

Scaling shared model governance via model splitting. - Miljan Martic; Jan Leike; Andrew Trask; Matteo Hessel; Shane Legg; Pushmeet Kohli (CoRR, 2018)

Penalizing Side Effects using Stepwise Relative Reachability. - Victoria Krakovna; Laurent Orseau; Miljan Martic; Shane Legg (AISafety@IJCAI, 2019)

Avoiding Side Effects By Considering Future Tasks. - Victoria Krakovna; Laurent Orseau; Richard Ngo; Miljan Martic; Shane Legg (NeurIPS, 2020)

Meta-trained agents implement Bayes-optimal agents. - Vladimir Mikulik; Grégoire Delétang; Tom McGrath; Tim Genewein; Miljan Martic; Shane Legg; Pedro A. Ortega (NeurIPS, 2020)

Algorithms for Causal Reasoning in Probability Trees. - Tim Genewein; Tom McGrath; Grégoire Delétang; Vladimir Mikulik; Miljan Martic; Shane Legg; Pedro A. Ortega (CoRR, 2020)

Causal Analysis of Agent Behavior for AI Safety. - Grégoire Delétang; Jordi Grau-Moya; Miljan Martic; Tim Genewein; Tom McGrath; Vladimir Mikulik; Markus Kunesch; Shane Legg; Pedro A. Ortega (CoRR, 2021)