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Exploration-based model learning with self-attention for risk-sensitive robot control
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Robot Learning using Tensor Networks
In various robotics applications, the selection of function approximation methods greatly influences the feasibility and computational efficiency of algorithms. Tensor Networks (TNs), also referred to as tensor decomposition techniques, present a versatile ...
EPFL2024