
This research paper investigates the effectiveness of multimodal integration in variational autoencoders (VAEs) for robot control, using information-theoretic measures to analyze the importance of different sensory modalities and the impact of KL-cost weighting schedules on model performance.


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analyzing-multimodal-integration-in-variational-autoencoders-for-robot-control-an-information-theoretic-approach


Analyzing Multimodal Integration in Variational Autoencoders for Robot Control: An Information-Theoretic Approach
