Results for "sim + real"

Systematic error introduced by simplifying assumptions in a learning algorithm.

Separates planning from execution in agent architectures.

Models trained to decide when to call tools.

Models evaluating and improving their own outputs.

Simultaneous Localization and Mapping for robotics.

Recovering 3D structure from images.

Detects trigger phrases in audio streams.

Model execution path in production.

Optimal estimator for linear dynamic systems.

Running new model alongside production without user impact.

Running predictions on large datasets periodically.

Centralized repository for curated features.

Using production outcomes to improve models.

Agent calls external tools dynamically.

Interleaving reasoning and tool use.

Cost to run models in production.

Variable whose values depend on chance.

Optimization under equality/inequality constraints.

Maximizing reward without fulfilling real goal.

Maintaining alignment under new conditions.

Model behaves well during training but not deployment.

Using limited human feedback to guide large models.

Guaranteed response times.

Dynamic resource allocation.

Running models locally.

AI systems that perceive and act in the physical world through sensors and actuators.

Internal sensing of joint positions, velocities, and forces.

External sensing of surroundings (vision, audio, lidar).

Continuous loop adjusting actions based on state feedback.

Using output to adjust future inputs.