Visual robot homing using Sarsa(λ), whole image measure, and radial basis function


This paper describes a model for visual homing. It uses Sarsa(lambda) as its learning algorithm, combined with the Jeffery divergence measure (JDM) as a way of terminating the task and augmenting the reward signal. The visual features are taken to be the histograms difference of the current view and the stored views of the goal location, taken for all RGB… (More)
DOI: 10.1109/IJCNN.2008.4634353


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