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Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model
We experimentally verified the benefits of the sparsification by the proposed method that it can easily find the necessary and sufficient six dimensions for a reaching task with a mobile manipulator that requires a six-dimensional state space.
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