Topographic RBM as Robot Controller
نویسندگان
چکیده
In this research we propose learning a controller for a mobile robot with a topographic Restricted Boltzmann machine (tRBM). The topographic RBM generalizes the previously proposed Map-Initialized Perceptron (MIP) to a probabilistic model which learns a joint distribution of sensory states and continuous actions. Keywords— Topographical Structure, Restricted Boltzmann Machine, Mobile Robot, Imitation Learning
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تاریخ انتشار 2011