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