Two-step task

The two-step task is a popular option for studying sequential choice in humans (and animals) [2]. It was originally designed to investigate model-based (MB) and model-free (MF) learning and planning, distinguishing the two by examining the consequences of progressive changes in the probabilities of rewards.

Data and Resources

Cite this as

Chris Gagne, Peter Dayan (2024). Dataset: Two-step task. https://doi.org/10.57702/egkwljnp

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2111.06803
Author Chris Gagne
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Peter Dayan
Homepage https://github.com/crgagne/twosteps_neurips2021