Adding general-value-function predictions of future lower-limb sensor signals improved a policy network's terrain classification accuracy during simulated online learning.
Representing high-dimensional data to intelligent prostheses and other wearable assistive robots: A first comparison of tile coding and selective Kanerva coding,
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Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals
Adding general-value-function predictions of future lower-limb sensor signals improved a policy network's terrain classification accuracy during simulated online learning.