facebookresearch / modeling_long_term_future Goto Github PK
View Code? Open in Web Editor NEWCode for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
Home Page: https://arxiv.org/abs/1903.01599
License: Other
Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
Home Page: https://arxiv.org/abs/1903.01599
License: Other
Could you breakdown the final loss function used in the code, comparing with eq 7 in the paper?
I can clearly see the log prob gaussian for forward net, the KL div term, the aux reconstruction term. The z-forcing paper also had the log prob gaussian for backward net in its loss formulation, but I dont understand it in eq7. Also, the action decoder loss is missing.
Hi,
Im trying to run your experiments but can't figure out where to find the code corresponding to the following (in scripts/rl_zforcing.py
and scripts/rl_zforcing_dec.py
)
from torch.nn._functions.thnn import rnnFusedPointwise as fusedBackend
used later on in the definition of class LSTMCell
. However there is No module named 'torch.nn._functions'
anymore in PyTorch it seems. If I understand correctly this code was available up until PyTorch version 0.4.1
but was discontinued after that ? So do you know where I should now point towards to use the same function ?
By searching I found a similar function in this old repo that this user probably forked from pytorch a while back. Is that the intended function to be used ?
Thanks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.