Sequential mastery of multiple tasks: Networks naturally learn to learn. - Guy Davidson; Michael C. Mozer (CoRR, 2019)

Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning. - Guy Davidson; Brenden M. Lake (CogSci, 2020)

Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget. - Guy Davidson; Michael C. Mozer (CVPR, 2020)

Examining Infant Relation Categorization Through Deep Neural Networks. - Guy Davidson; Brenden M. Lake (CogSci, 2021)

Creativity, Compositionality, and Common Sense in Human Goal Generation. - Guy Davidson; Todd M. Gureckis; Brenden M. Lake (CogSci, 2022)

The C++ Standard Needs to Broaden Its Reach. - Guy Davidson (Games Res. Pract., 2023)

Toward Human-AI Alignment in Large-Scale Multi-Player Games. - Sugandha Sharma; Guy Davidson; Khimya Khetarpal; Anssi Kanervisto; Udit Arora; Katja Hofmann; Ida Momennejad (CoRR, 2024)

Goals as reward-producing programs. - Guy Davidson; Graham Todd; Julian Togelius; Todd M. Gureckis; Brenden M. Lake (Nat. Mac. Intell., 2025)

Do different prompting methods yield a common task representation in language models? - Guy Davidson; Todd M. Gureckis; Brenden M. Lake; Adina Williams (CoRR, 2025)

SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts. - Chen Yueh-Han; Guy Davidson; Brenden M. Lake (CoRR, 2025)