Occupancy-based Policy Compression (OPC) curates diverse policies via state-visitation entropy and trains an autoencoder by matching mixture occupancy distributions, yielding more useful low-dimensional policy manifolds than action-matching.
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Unsupervised Behavioral Compression: Learning Low-Dimensional Policy Manifolds through State-Occupancy Matching
Occupancy-based Policy Compression (OPC) curates diverse policies via state-visitation entropy and trains an autoencoder by matching mixture occupancy distributions, yielding more useful low-dimensional policy manifolds than action-matching.