A reinforcement learning framework for information-seeking and information-avoidance. - Irene Cogliati Dezza; Gaia Molinaro; Tom Verguts (CogSci, 2023)

Human hacks and bugs in the recruitment of reward systems for goal achievement. - Gaia Molinaro; Anne G. E. Collins (CogSci, 2023)

Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning. - Gaia Molinaro; Cédric Colas; Pierre-Yves Oudeyer; Anne Collins (NeurIPS, 2024)

ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models. - Julien Pourcel; Cédric Colas; Gaia Molinaro; Pierre-Yves Oudeyer; Laetitia Teodorescu (NeurIPS, 2024)

When LLMs Play the Telephone Game: Cumulative Changes and Attractors in Iterated Cultural Transmissions. - Jérémy Perez; Corentin Léger; Grgur Kovac; Cédric Colas; Gaia Molinaro; Maxime Derex; Pierre-Yves Oudeyer; Clément Moulin-Frier (CoRR, 2024)

When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings. - Jérémy Perez; Grgur Kovac; Corentin Léger; Cédric Colas; Gaia Molinaro; Maxime Derex; Pierre-Yves Oudeyer; Clément Moulin-Frier (ICLR, 2025)