colab to load memo data

PiperOrigin-RevId: 306473592

visr/README.md

@@ -0,0 +1,25 @@
+# VISR - Fast Task Inference with Variational Intrinsic Successor Features
+
+This directory contains a [Tensorflow-v1](https://www.tensorflow.org/versions#tensorflow_1x) / [Sonnet](https://sonnet.dev) implementation of
+the VISR algorithm in a notebook explaining how the approach can be used for task inference in a simple GridWorld.
+To launch the notebook in Google colab, [click here](https://colab.research.google.com/github/deepmind/deepmind_research/blob/master/visr/VISR_ICLR2020.ipynb).
+
+
+VISR is a novel algorithm which learns controllable features that can be leveraged to provide enhanced generalization and fast task inference through the successor feature framework.
+
+For details, see our
+paper [Fast Task Inference with Variational Intrinsic Successor Features](https://arxiv.org/abs/1906.05030).
+
+If you use the code here please cite this paper.
+> Steven Hansen, Will Dabney, Andre Barreto, David Warde-Farley, Tom Van de Wiele, Volodymyr Mnih.  *Fast Task Inference with Variational Intrinsic Successor Features*.  ICLR 2020.  [\[arXiv\]](https://arxiv.org/abs/1906.11883).
+
+## Contributors
+* Steven Hansen <stevenhansen@google.com>
+* Will Dabney
+* Andre Barreto
+* David Warde-Farley
+* Volodymyr Mnih
+
+
+## Disclaimer
+This is not an official Google product.