dementrock
Joined 13 years ago
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Sep 3
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Comment · 9 years ago
Comment · 10 years ago
Actually TensorFuse does support RNN by porting a subset of scan to TensorFlow. I've been using it to port Lasagne to support TensorFlow: https://github.com/dementrock/Lasagne-tf. The examples/recurrent.py there actually works.
Good suggestion on Neon!
Comment · 11 years ago
OP here - I don't work for Fuse and I've got a related question. Will the Fuse libraries be open-sourced too?
This is a great question! There are at least two scenarios where having a meta-learning setup could help. The first is to learn the fast RL algorithm in simulation, by having a distribution over real world environments (varying physics, textures, etc), and then run it in the real world. The second is to learn a fast RL algorithm over a wide range of tasks (for example, on a set of training games in Universe), and (hopefully) generalize to unseen games, analogous to generalization in supervised learning.