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Metric state space reinforcement learning for a vision-capable mobile robot

Zhumatiy, Viktor; Gomez, Faustino; Hutter, Marcus; Schmidhuber, Jürgen

Description

We address the problem of autonomously learning controllers for vision-capable mobile robots. We extend McCallum's (1995) Nearest-Sequence Memory algorithm to allow for general metrics over state-action trajectories. We demonstrate the feasibility of our

CollectionsANU Research Publications
Date published: 2006
Type: Book chapter
URI: http://hdl.handle.net/1885/34046

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