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Sequential decision problems and neural networks

Advances in neural information processing systems 2, pp.686-693, (1990)

Cited: 102|Views40
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Abstract

Decision making tasks that involve delayed consequences are very common yet difficult to address with supervised learning methods. If there is an accurate model of the underlying dynamical system, then these tasks can be formulated as sequential decision problems and solved by Dynamic Programming. This paper discusses rein(cid:173) forcem...More

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