Loading...
Loading...
Available on 1 platform
Sign in to view source links and access this dataset
802 participants performed online and in-person restless bandit tasks across five experiments to study human foraging behavior in reinforcement learning contexts. The dataset, created by Meriam Zid and last updated in May 2026, includes behavioral data and model fits for tasks varying in volatility, option linkage, and the number of alternatives. Data is provided in formats for Python and MATLAB analysis.
Files are in ZIP, PICKLE, and MAT formats, requiring compatible software (e.g., Python, MATLAB) for access. Licensed under MIT.