A Fully Differentiable Neuro-Soft-Symbolic Framework for Perceptual Task Planning
Researchers propose a new AI framework that integrates visual perception and task planning within a single computational graph, maintaining a continuous soft symbolic state and allowing gradients from the planning objective to update perception parameters.
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