Results for "error correction"

Lowest possible loss.

Loss of old knowledge when learning new tasks.

Model trained on its own outputs degrades quality.

Probabilities do not reflect true correctness.

Control using real-time sensor feedback.

Performance drop when moving from simulation to reality.

RL without explicit dynamics model.

Learning policies from expert demonstrations.

Learning action mapping directly from demonstrations.

Finding mathematical equations from data.

Risk of incorrect financial models.

Fast approximation of costly simulations.