Motor Demands Constrain Cognitive Rule Structures. - Anne Gabrielle Eva Collins; Michael Joshua Frank (PLoS Comput. Biol., 2016)

The Cost of Structure Learning. - Anne Gabrielle Eva Collins (J. Cogn. Neurosci., 2017)

Evidence for hierarchically-structured reinforcement learning in humans. - Maria K. Eckstein; Anne Collins (CogSci, 2018)

Prefrontal Cortex in Control: Broadening the Scope to Identify Mechanisms. - William H. Alexander; Joshua W. Brown; Anne G. E. Collins; Benjamin Y. Hayden; Eliana Vassena (J. Cogn. Neurosci., 2018)

The Tortoise and the Hare: Interactions between Reinforcement Learning and Working Memory. - Anne G. E. Collins (J. Cogn. Neurosci., 2018)

A role for working memory in shaping the action policy for reinforcement learning. - Ham Huang; Samuel D. McDougle; Anne Collins (CogSci, 2020)

What is a choice in reinforcement learning? - Milena Rmus; Anne Collins (CogSci, 2020)

Learning under uncertainty changes during adolescence. - Liyu Xia; Sarah L. Master; Maria K. Eckstein; Linda Wilbrecht; Anne Collins (CogSci, 2020)

How the Mind Creates Structure: Hierarchical Learning of Action Sequences. - Maria K. Eckstein; Anne G. E. Collins (CogSci, 2021)

Modeling changes in probabilistic reinforcement learning during adolescence. - Liyu Xia; Sarah L. Master; Maria K. Eckstein; Beth Baribault; Ronald E. Dahl; Linda Wilbrecht; Anne Gabrielle Eva Collins (PLoS Comput. Biol., 2021)

Credit assignment in hierarchical option transfer. - Jing-Jing Li; Liyu Xia; Flora Dong; Anne G. E. Collins (CogSci, 2022)

Three systems interact in one-shot reinforcement learning. - Amy Zou; Anne G. E. Collins (CogSci, 2022)

How Working Memory and Reinforcement Learning Are Intertwined: A Cognitive, Neural, and Computational Perspective. - Aspen H. Yoo; Anne G. E. Collins (J. Cogn. Neurosci., 2022)

A generalized method for dynamic noise inference in modeling sequential decision-making. - Jing-Jing Li; Chengchun Shi; Lexin Li; Anne G. E. Collins (CogSci, 2023)

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

Choice Type Impacts Human Reinforcement Learning. - Milena Rmus; Amy Zou; Anne G. E. Collins (J. Cogn. Neurosci., 2023)

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

Latent Variable Sequence Identification for Cognitive Models with Neural Bayes Estimation. - Ti-Fen Pan; Jing-Jing Li; Bill Thompson 001; Anne Collins (CoRR, 2024)

SafetyAnalyst: Interpretable, transparent, and steerable LLM safety moderation. - Jing-Jing Li; Valentina Pyatkin; Max Kleiman-Weiner; Liwei Jiang; Nouha Dziri; Anne G. E. Collins; Jana Schaich Borg; Maarten Sap; Yejin Choi 001; Sydney Levine (CoRR, 2024)

Adolescent and adult mice use both incremental reinforcement learning and short term memory when learning concurrent stimulus-action associations. - Juliana Chase; Liyu Xia; Lung-Hao Tai; Wan Chen Lin; Anne G. E. Collins; Linda Wilbrecht (PLoS Comput. Biol., 2024)

Artificial neural networks for model identification and parameter estimation in computational cognitive models. - Milena Rmus; Ti-Fen Pan; Liyu Xia; Anne G. E. Collins (PLoS Comput. Biol., 2024)