Maria K. Eckstein

According to our database, Maria K. Eckstein authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Centaur: a foundation model of human cognition.

Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Li Ji-An, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert Wilson, Kristin Witte, Shuchen Wu, Dirk Wulff, Huadong Xiong, Eric Schulz

CoRR, 2024

2023

Cognitive Model Discovery via Disentangled RNNs.

Kevin J. Miller, Maria K. Eckstein, Matt M. Botvinick, Zeb Kurth-Nelson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

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

How the Mind Creates Structure: Hierarchical Learning of Action Sequences.

Maria K. Eckstein, Anne G. E. Collins

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Computational Models of Learning and Hierarchy

Maria K. Eckstein

PhD thesis, 2020

OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning.

Alexander Vezhnevets, Yuhuai Wu, Maria K. Eckstein, Rémi Leblond, Joel Z. Leibo

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning under uncertainty changes during adolescence.

Liyu Xia, Sarah L. Master, Maria K. Eckstein, Linda Wilbrecht, Anne Collins

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2018

Evidence for hierarchically-structured reinforcement learning in humans.

Maria K. Eckstein, Anne Collins

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018