To Veer or Not to Veer: Learning from Experts How to Stay Within the Crosswalk. - Manfred Diaz; Roger Girgis; Thomas Fevens; Jeremy R. Cooperstock (ICCV Workshops, 2017)

Active Domain Randomization. - Bhairav Mehta; Manfred Diaz; Florian Golemo; Christopher J. Pal; Liam Paull (CoRL, 2019)

The AI Driving Olympics at NeurIPS 2018. - Julian G. Zilly; Jacopo Tani; Breandan Considine; Bhairav Mehta; Andrea F. Daniele; Manfred Diaz; Gianmarco Bernasconi; Claudio Ruch; Jan Hakenberg; Florian Golemo; A. Kirsten Bowser; Matthew R. Walter; et al. (CoRR, 2019)

Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning. - Manfred Diaz; Thomas Fevens; Liam Paull (CRV, 2021)

Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization. - Shixiang Shane Gu; Manfred Diaz; C. Daniel Freeman; Hiroki Furuta; Seyed Kamyar Seyed Ghasemipour; Anton Raichuk; Byron David; Erik Frey; Erwin Coumans; Olivier Bachem (CoRR, 2021)

A theory of appropriateness with applications to generative artificial intelligence. - Joel Z. Leibo; Alexander Sasha Vezhnevets; Manfred Diaz; John P. Agapiou; William A. Cunningham; Peter Sunehag; Julia Haas; Raphael Koster; Edgar A. Duéñez-Guzmán; William S. Isaac; Georgios Piliouras; Stanley M. Bileschi; et al. (CoRR, 2024)

Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience. - Manfred Diaz; Liam Paull; Andrea Tacchetti (Trans. Mach. Learn. Res., 2024)

Soft Condorcet Optimization for Ranking of General Agents. - Marc Lanctot; Kate Larson; Michael Kaisers; Quentin Berthet; Ian Gemp; Manfred Diaz; Roberto-Rafael Maura-Rivero; Yoram Bachrach; Anna Koop; Doina Precup (AAMAS, 2025)

Societal and technological progress as sewing an ever-growing, ever-changing, patchy, and polychrome quilt. - Joel Z. Leibo; Alexander Sasha Vezhnevets; William A. Cunningham; Sébastien Krier; Manfred Diaz; Simon Osindero (CoRR, 2025)