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Preprint Jul 2026

Factorized Spectral Representations for Reinforcement Learning

FaStR is proposed, which fits this decomposition with a noise contrastive objective, producing separate state, action, and next-state encoders that together form a single spectral representation.

Junyi Wu, Dan Li · 0 citations