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

    Python 3

  2. 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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  3. Implementation of a combination of the BiGAN and InfoGAN architectures.

    Python 1 2

  4. Course project with Jay McClelland on Hebbian pre-training for error-driven learning. Includes attempts at reproducing the works of some authors, such as Lillicrap, T. P. et al. Random synaptic fee…

    Python 1

  5. Experimental repository

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December 2020

Created 3 commits in 1 repository

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