Pre-trained Dynamics EncoDER
Pre-trained Dynamics EncoDER
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A generalized encoder designed to map system observations into a latent space where dynamics are more easily captured, pre-trained using a Lyapunov exponent objective.
Why It Matters
PDEDER is the core proposed architecture designed for generalized representation learning to ease subsequent dynamics modeling across different systems.
Evidence
we conduct a generalized Pre-trained Dynamics EncoDER (PDEDER) which can embed the original state observations into a latent space where the dynamics can be captured more easily.
Related Papers
Metadata & Links
- created_at
- 2026-03-27T15:44:13Z