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  1. scot scot Public

    Set Cover Optimal Teaching for Sequential Decision Making with Inverse Reinforcement Learning

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  2. hebbian_pretraining hebbian_pretraining Public

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    Learning Dynamical Models of Motor Cognition - Kalman Filters and RNNs - Project completed for CS221 at Stanford by Libby Zhang and Riley DeHaan.

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    Implementation of a combination of the BiGAN and InfoGAN architectures.

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    One-dimensional visual environment for modeling complex visual phenomena without slow rendering times.

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