DTWIL creates a surrogate demonstration set by aligning expert and constrained state trajectories through model predictive control and dynamic time warping, then trains an imitator on it.
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Action-Constrained Imitation Learning
DTWIL creates a surrogate demonstration set by aligning expert and constrained state trajectories through model predictive control and dynamic time warping, then trains an imitator on it.