A resource-rational model of physical abstraction for efficient mental simulation. - Tina Zhu; Jessica B. Hamrick; Kevin R. McKee; Raphael Koster; Jan Balaguer; Peter W. Battaglia; Matthew M. Botvinick (CogSci, 2019)

PonderNet: Learning to Ponder. - Andrea Banino; Jan Balaguer; Charles Blundell (CoRR, 2021)

Fine-tuning language models to find agreement among humans with diverse preferences. - Michiel A. Bakker; Martin J. Chadwick; Hannah Sheahan; Michael Henry Tessler; Lucy Campbell-Gillingham; Jan Balaguer; Nat McAleese; Amelia Glaese; John Aslanides; Matt M. Botvinick; Christopher Summerfield (NeurIPS, 2022)

Human-centered mechanism design with Democratic AI. - Raphael Koster; Jan Balaguer; Andrea Tacchetti; Ari Weinstein; Tina Zhu; Oliver P. Hauser; Duncan Williams; Lucy Campbell-Gillingham; Phoebe Thacker; Matthew M. Botvinick; Christopher Summerfield (CoRR, 2022)

HCMD-zero: Learning Value Aligned Mechanisms from Data. - Jan Balaguer; Raphael Koster; Ari Weinstein; Lucy Campbell-Gillingham; Christopher Summerfield; Matthew M. Botvinick; Andrea Tacchetti (CoRR, 2022)

The Good Shepherd: An Oracle Agent for Mechanism Design. - Jan Balaguer; Raphael Koster; Christopher Summerfield; Andrea Tacchetti (CoRR, 2022)

Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem. - Raphael Koster; Miruna Pîslar; Andrea Tacchetti; Jan Balaguer; Leqi Liu; Romuald Elie; Oliver P. Hauser; Karl Tuyls; Matt M. Botvinick; Christopher Summerfield (CoRR, 2024)

Language Agents as Digital Representatives in Collective Decision-Making. - Daniel Jarrett; Miruna Pîslar; Michiel A. Bakker; Michael Henry Tessler; Raphael Köster; Jan Balaguer; Romuald Elie; Christopher Summerfield; Andrea Tacchetti (CoRR, 2025)