| Literature DB >> 18708140 |
Abstract
Reinforcement learning provides both qualitative and quantitative frameworks for understanding and modeling adaptive decision-making in the face of rewards and punishments. Here we review the latest dispatches from the forefront of this field, and map out some of the territories where lie monsters.Mesh:
Year: 2008 PMID: 18708140 DOI: 10.1016/j.conb.2008.08.003
Source DB: PubMed Journal: Curr Opin Neurobiol ISSN: 0959-4388 Impact factor: 6.627