Animal Behavior & CognitionbioRxivPreprint
Nonlinear influence of reward volatility on arbitration between multiple learning strategies reflects cost-benefit optimization
Taiji Yamada, Kazuyuki Samejima
This study shows that reward volatility nonlinearly affects the balance between model-free and model-based learning strategies, with model-based learning being most effective at intermediate volatility levels.
DOI 10.64898/2026.06.15.732293