Maria K Eckstein

Researcher, Google DeepMind

Joined

August 2020

Names

Maria K Eckstein (Preferred)

Emails

****@berkeley.edu (Confirmed)

****@deepmind.com (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

Researcher

Google DeepMind (google.com)

2021 – Present

PhD student

University of California Berkeley (berkeley.edu)

2015 – 2021

Advisors, Relations & Conflicts

Coworker

Kevin Miller

2021 – Present

PhD Advisor

Anne Collins

2017 – 2021

PhD Advisor

Silvia Bunge

2015 – 2017

Expertise

cognitive modeling

reinforcement learning

Present

cognitive modeling

development

Present

Publications

A foundation model to predict and capture human cognition
Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K Eckstein, Noémi Éltető, Thomas L. Griffiths, Susanne Haridi, Akshay K Jagadish, Li Ji-An, Alex Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G Mattar, Alireza Modirshanechi, Surabhi S Nath et al. (18 additional authors not shown)
- Nature
- Readers: Everyone
Hybrid Neural-Cognitive Models Reveal How Memory Shapes Human Reward Learning
Maria K Eckstein, Nathaniel D. Daw, Christopher Summerfield, Kevin J Miller
- Nature Human Behavior
- Readers: Everyone
Interpretable Hybrid Neural-Cognitive Models Discover Cognitive Strategies Underlying Flexible Reversal Learning
Chonghao Cai, Liyuan Li, Yifei Cao, Maria K Eckstein
- CogInterp @ NeurIPS 2025 Oral
- Readers: Everyone
Discovering Symbolic Cognitive Models from Human and Animal Behavior
Pablo Samuel Castro, Nenad Tomasev, Ankit Anand, Navodita Sharma, Rishika Mohanta, Aparna Dev, Kuba Perlin, Siddhant Jain, Kyle Levin, Noemi Elteto, Will Dabney, Alexander Novikov, Glenn C Turner, Maria K Eckstein, Nathaniel D. Daw, Kevin J Miller, Kim Stachenfeld
- ICML 2025 spotlightposter
- Readers: Everyone
Computational discovery of human reinforcement learning dynamics from choice behavior
Daniel Weinhardt, Maria K Eckstein, Sebastian Musslick
- NeurIPS 2024 Workshop on Behavioral ML
- Readers: Everyone
Cognitive Model Discovery via Disentangled RNNs
Kevin J Miller, Maria K Eckstein, Matthew Botvinick, Zeb Kurth-Nelson
- NeurIPS 2023 poster
- Readers: Everyone
What do RL Models Measure? Interpreting Model Parameters in Cognition and Neuroscience
Maria K Eckstein, Linda Wilbrecht, Anne Collins
- 07 May 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Computational evidence for hierarchically structured reinforcement learning in humans
Maria K Eckstein, Anne Collins
- 23 Apr 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Understanding the Unique Advantage of Adolescents in Stochastic, Volatile Environments: Combining Reinforcement Learning and Bayesian Inference
Maria K Eckstein, Sarah Master, Ronald Dahl, Linda Wilbrecht, Anne Collins
- 23 Apr 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Disentangling the systems contributing to changes in learning during adolescence
Sarah Master, Maria K Eckstein, Neta Gotlieb, Ronald Dahl, Linda Wilbrecht, Anne Collins
- 23 Apr 2021
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 12 publications

Co-Authors

View all 70 co-authors