paperKB
coga / coga-kb
Processing
Help
Sign in

Chunk #4 — RESULTS — Evaluating behavioral model fit

Source
States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning.
Embedded
yes

Text

= 0). The expected values and estimated state transition probabilities from all models are visualized in Figure S2 for the optimal choice trajectory. Finally, we also computed the probability of correctly predicted choices by our HYBRID model and a pseudo-R2 measure for each participant (Daw et al., 2006) that indicating how much better our HYBRID learner performs compared to a null model of random choices for each subject (Table S2).