Reinforcement learning of visually guided spatial goal directed movement
A range of visually guided, spatial goal directed tasks are investigated, using a computational neuroethology approach. Animats are embedded within a bounded, 2-D environment, and map a 1-D visual array, through a convolution network, to a topography preserving motor array that stochastically determ...
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University of Stirling
1997
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Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298569 |