Initial commit with base implementation.

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functional_regularisation_for_continual_learning/README.md

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+# Functional Regularisation for Continual Learning (FRCL) with Gaussian Processes
+
+This notebook contains code to accompany the ICLR 2020 paper on
+Functional Regularisation for Continual Learning (FRCL). [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/deepmind/deepmind_research/blob/master/functional_regularisation_for_continual_learning/frcl.ipynb)
+
+The experiments in the paper can be reproduced by choosing the respective
+experimental protocol detailed in the publication. Default values are set to
+replicate results on Permuted MNIST.
+
+If you find this code useful, please consider citing this paper:
+
+```
+@article{titsias2019functional,
+  title={Functional regularisation for continual learning using gaussian processes},
+  author={Titsias, Michalis K and Schwarz, Jonathan and Matthews, AG de G and Pascanu, Razvan and Teh, Yee Whye},
+  journal={ICLR 2020},
+  year={2020}
+}
+```