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Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot

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


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 approach by successfully running our algorithm on a real mobile robot. The algorithm is novel and unique in that it (a) explores...[Show more]

CollectionsANU Research Publications
Date published: 2006-03
Type: Conference paper


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