Table 4.

Parameter estimates obtained from the hybrid reinforcement-learning model and goodness-of-fit indices

	α1	α2	Δ1	Δ2	b1	b2	b3	ωMF	ωMB	LL	AIC	BIC
25th	0.55	0.88	0.32	0.09	−0.24	−0.22	−0.15	0.73	0.00	1117	2253	2299
Median	0.74	0.91	0.43	0.14	0.12	−0.03	0.05	1.02	0.24	1388	2795	2842
75th	0.86	0.93	0.50	0.20	0.50	0.18	0.32	1.87	0.48	1615	3248	3296

Values presented are those from the 25^th, median, and 75^th percentile.

LL, Log likelihood; AIC, Akaike information criterion.