Meta-learning of Sequential Strategies. - Pedro A. Ortega; Jane X. Wang; Mark Rowland 001; Tim Genewein; Zeb Kurth-Nelson; Razvan Pascanu; Nicolas Heess; Joel Veness; Alexander Pritzel; Pablo Sprechmann; Siddhant M. Jayakumar; Tom McGrath; et al. (CoRR, 2019)

Deep Reinforcement Learning and its Neuroscientific Implications. - Matthew M. Botvinick; Jane X. Wang; Will Dabney; Kevin J. Miller; Zeb Kurth-Nelson (CoRR, 2020)

Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making. - Maria K. Eckstein; Christopher Summerfield; Nathaniel D. Daw; Kevin J. Miller (CogSci, 2023)

Cognitive Model Discovery via Disentangled RNNs. - Kevin J. Miller; Maria K. Eckstein; Matt M. Botvinick; Zeb Kurth-Nelson (NeurIPS, 2023)

Understanding dual process cognition via the minimum description length principle. - Ted Moskovitz; Kevin J. Miller; Maneesh Sahani; Matthew M. Botvinick (PLoS Comput. Biol., 2024)