Reinforcement Learning

A type of machine learning where an agent learns to make decisions by receiving rewards or penalties.

How does the framework work
Used in psychology to model learning and behavior.
DOI
10.1177/0956797618769845

Models that use this framework

Pessimistic Q-learning model

Frameworks: Reinforcement Learning
Disciplines: Clinical Psychology
Programming language: Python
The model is an adaptation of a standard Q-learning where the assumption that agents will always make the reward-maximizing action is replaced by a weighting scheme that the agent might also make the reward-minimizing decision. The pessimistic Q-learning model is used to model characteristics of anxious behavior.

CAL Model

Frameworks: Category Abstraction Learning, Categorization Model, Reinforcement Learning, Network Models
Disciplines: Cognitive Psychology
Programming language: R
CAL model (Category Abstraction Learning), a cognitive framework formally describing category learning built on similarity-based generalization, dissimilarity-based abstraction, two attention learning mechanisms, error-driven knowledge structuring, and stimulus memorization.