Pages that link to "Item:Q2176792"
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The following pages link to A hierarchical Bayesian approach to assess learning and guessing strategies in reinforcement learning (Q2176792):
Displaying 5 items.
- Empirical priors for reinforcement learning models (Q285948) (← links)
- A comparison model of reinforcement-learning and win-stay-lose-shift decision-making processes: a tribute to W. K. Estes (Q396218) (← links)
- Hierarchical Bayesian models of reinforcement learning: introduction and comparison to alternative methods (Q825147) (← links)
- Bayesian parameter estimation in the Expectancy Valence model of the Iowa gambling task (Q972206) (← links)
- Dynamic noise estimation: a generalized method for modeling noise fluctuations in decision-making (Q6557377) (← links)