Abstract: This paper presents a novel approach to improving the generalization capabilities of reinforcement learning (RL) agents for robotic systems with varying physical parameters. We propose the ...
Abstract: Robust adaptive control of fully actuated systems (FASs) with unknown parameters, perturbed input matrices and nonlinear uncertainties is considered. Two novel robust adaptive controllers ...
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