Maria K. Eckstein

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 6

Top Topics

Hierarchically Structured

Decision Making

Reinforcement Learning

Top Venues

PLoS Comput. Biol.

Publications

Maria K. Eckstein, Christopher Summerfield, Nathaniel D. Daw, Kevin J. Miller
Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making. CogSci (2023)
Maria K. Eckstein, Anne G. E. Collins
How the Mind Creates Structure: Hierarchical Learning of Action Sequences. CogSci (2021)
Liyu Xia, Sarah L. Master, Maria K. Eckstein, Beth Baribault, Ronald E. Dahl, Linda Wilbrecht, Anne Gabrielle Eva Collins
Modeling changes in probabilistic reinforcement learning during adolescence. PLoS Comput. Biol. 17 (7) (2021)
Liyu Xia, Sarah L. Master, Maria K. Eckstein, Linda Wilbrecht, Anne Collins
Learning under uncertainty changes during adolescence. CogSci (2020)
Alexander Vezhnevets, Yuhuai Wu, Maria K. Eckstein, Rémi Leblond, Joel Z. Leibo
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning. ICML (2020)
Maria K. Eckstein, Anne Collins
Evidence for hierarchically-structured reinforcement learning in humans. CogSci (2018)