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Unlearning via Sparse Representations
Machine \emph{unlearning}, which involves erasing knowledge about a \emph{forget set} from a trained model, can prove to be costly and infeasible by existing techniques.
Zero-shot generalization using cascaded system-representations
Our empirical results using state of the art on and off policy learning algorithms show that on average, CASNET agent achieves zero shot optimal performance (performance equivalent to expert agents trained for individual robot models) on unseen robot models.
Robotics
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