Results for "latent dynamics"

Modeling environment evolution in latent space.

Diffusion performed in latent space for efficiency.

Automatically learning useful internal features (latent variables) that capture salient structure for downstream tasks.

Probabilistic model for sequential data with latent states.

Model that compresses input into latent space and reconstructs it.

Autoencoder using probabilistic latent variables and KL regularization.

Optimizes future actions using a model of dynamics.

RL without explicit dynamics model.

Learned model of environment dynamics.

The internal space where learned representations live; operations here often correlate with semantics or generative factors.

Equations governing how system states change over time.

Motion considering forces and mass.

Modeling interactions with environment.

Motion of solid objects under forces.

Predicts next state given current state and action.

Collective behavior without central control.