What is dopamine doing in model-based reinforcement learning?
Curr Opin Behav Sci
; 38: 74-82, 2021 Apr.
Article
em En
| MEDLINE
| ID: mdl-37082448
ABSTRACT
Experiments have implicated dopamine in model-based reinforcement learning (RL). These findings are unexpected as dopamine is thought to encode a reward prediction error (RPE), which is the key teaching signal in model-free RL. Here we examine two possible accounts for dopamine's involvement in model-based RL the first that dopamine neurons carry a prediction error used to update a type of predictive state representation called a successor representation, the second that two well established aspects of dopaminergic activity, RPEs and surprise signals, can together explain dopamine's involvement in model-based RL.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Curr Opin Behav Sci
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Reino Unido