The algorithmic anatomy of model-based evaluation
ND Daw, P Dayan - … Transactions of the Royal Society B …, 2014 - royalsocietypublishing.org
ND Daw, P Dayan
Philosophical Transactions of the Royal Society B …, 2014•royalsocietypublishing.orgDespite many debates in the first half of the twentieth century, it is now largely a truism that
humans and other animals build models of their environments and use them for prediction
and control. However, model-based (MB) reasoning presents severe computational
challenges. Alternative, computationally simpler, model-free (MF) schemes have been
suggested in the reinforcement learning literature, and have afforded influential accounts of
behavioural and neural data. Here, we study the realization of MB calculations, and the …
humans and other animals build models of their environments and use them for prediction
and control. However, model-based (MB) reasoning presents severe computational
challenges. Alternative, computationally simpler, model-free (MF) schemes have been
suggested in the reinforcement learning literature, and have afforded influential accounts of
behavioural and neural data. Here, we study the realization of MB calculations, and the …
Despite many debates in the first half of the twentieth century, it is now largely a truism that humans and other animals build models of their environments and use them for prediction and control. However, model-based (MB) reasoning presents severe computational challenges. Alternative, computationally simpler, model-free (MF) schemes have been suggested in the reinforcement learning literature, and have afforded influential accounts of behavioural and neural data. Here, we study the realization of MB calculations, and the ways that this might be woven together with MF values and evaluation methods. There are as yet mostly only hints in the literature as to the resulting tapestry, so we offer more preview than review.
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