Author

Nitzan Shahar

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#reinforcement learning Open access Oct 2026

Increased monetary incentives enhance goal-directed reinforcement learning but fail to suppress automatic learning processes

Adaptive reinforcement learning requires assigning outcomes to the features of actions that causally determine them. Yet humans also learn reward associations with action features that are explicitly known to be outcome-irrelevant, and these associations can bias subsequent choices. Whether such maladaptive learning is...

Ido Ben-Artzi, Noham Wolpe, Nitzan Shahar · 0 citations

#reinforcement learning Open access Sep 2026

Human outcome-irrelevant value learning is insensitive to its monetary cost

When learning from reinforcement, individuals should assign credit selectively to features of their actions that causally determine outcomes. Yet, even when explicit instructions and extensive experience clarify which action features predict reward, humans assign credit to outcome-irrelevant features, leading to subopt...

Ido Ben-Artzi, Noham Wolpe, Nitzan Shahar · 0 citations