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A pytorch implementation of the paper "Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images", NIPS, 2015

Python 23.81% Jupyter Notebook 76.19%
python pytorch reinforcement-learning representation-learning

e2c-pytorch's Introduction

Tung Nguyen

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I am a PhD student in CS at UCLA, advised by Aditya Grover. My research interest lies in the intersection of Decision making, Sequence modeling, and Generative Modeling. I am also interested in grounding my research in applications to Tackling Climate Change.

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e2c-pytorch's Issues

Could you reproduce the planar system results?

Hello,
Thanks for your implementation of E2C. Could you reproduce the planar system results? I can not.
I also found a typo in loss, because ratio-of-determinants has an additional square in the supplementary material of E2C. And your code (normal.py line 47) may be improved with it.

Thanks
Yong Lee

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