Learning Parametric Constraints in High Dimensions from Demonstrations

8 Oct 2019Glen ChouNecmiye OzayDmitry Berenson

We present a scalable algorithm for learning parametric constraints in high dimensions from safe expert demonstrations. To reduce the ill-posedness of the constraint recovery problem, our method uses hit-and-run sampling to generate lower cost, and thus unsafe, trajectories... (read more)

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