Stable Planning through Aligned Representations in Model-Based Reinforcement Learning
Stable Planning through Aligned Representations (SPAR), an algorithm that explicitly captures invariances by training an alignment network to map noisy states to the latent representation of clean states while keeping the learned world model fixed, is introduced.
Misagh Soltani, F. Agostinelli
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