Learning to maximize reward rate: a model based on semi-Markov decision processes

When animals have to make a number of decisions during a limited time interval, they face a fundamental problem: how much time they should spend on each decision in order to achieve the maximum possible total outcome. Deliberating more on one decision usually leads to more outcome but less time will...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Arash eKhodadadi, Pegah eFakhari, jerome eBusemeyer
التنسيق: Artigo
اللغة:Inglês
منشور في: Frontiers Media S.A. 2014-05-01
سلاسل:Frontiers in Neuroscience
الموضوعات:
reinforcement learning
decision threshold
Speed-accuracy trade-off
semi-Markov decision process
average reward rate maximization
sequential sampling models
الوصول للمادة أونلاين:http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00101/full
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