Results for "internal simulation"

Randomizing simulation parameters to improve real-world transfer.

Performance drop when moving from simulation to reality.

Artificial sensor data generated in simulation.

Combining simulation and real-world data.

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

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

Studying internal mechanisms or input influence on outputs (e.g., saliency maps, SHAP, attention analysis).

A broader capability to infer internal system state from telemetry, crucial for AI services and agents.

Inferring the agent’s internal state from noisy sensor data.

Internal sensing of joint positions, velocities, and forces.

Internal representation of environment layout.

Awareness and regulation of internal processes.

Internal representation of the agent itself.

Artificial environment for training/testing agents.

Imagined future trajectories.