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Found 4 papers, 1 papers with code
Utility Theory for Sequential Decision Making
A yet stronger constraint simplifies the utility function for goal-seeking agents in the form of a difference in some function of states that we call potential functions.
Transformation Coding: Simple Objectives for Equivariant Representations
We present a simple non-generative approach to deep representation learning that seeks equivariant deep embedding through simple objectives.
Equivariant Networks for Pixelized Spheres
We show how to model this interplay using ideas from group theory, identify the equivariant linear maps, and introduce equivariant padding that respects these symmetries.
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