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Gradient-based Reinforcement Planning in Policy-Search Methods

Kwee, Ivo; Hutter, Marcus; Schmidhuber, Jürgen

Description

We introduce a learning method called "gradient-based reinforcement planning" (GREP). Unlike traditional DP methods that improve their policy backwards in time, GREP is a gradient-based method that plans ahead and improves its policy {\em before} it actually acts in the environment. We derive formulas for the exact policy gradient that maximizes the expected future reward and confirm our ideas ...[Show more]

CollectionsANU Research Publications
Date published: 2001
Type: Conference paper
URI: http://hdl.handle.net/1885/15170

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