FOCUS: First-Order Control Using Optimal Transport Supervision for Imitation from Observations
FOCUS is introduced, which combines local optimal-transport alignment with short-horizon differentiable actor-critic learning and improves sample efficiency and training stability over adversarial imitation-from-observation methods and prior differentiable imitation baselines.