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Sven Mika
d0fab84e4d
The DDPG/TD3 algorithms currently do not have a PyTorch implementation. This PR adds PyTorch support for DDPG/TD3 to RLlib. This PR: - Depends on the re-factor PR for DDPG (Functional Algorithm API). - Adds learning regression tests for the PyTorch version of DDPG and a DDPG (torch) - Updates the documentation to reflect that DDPG and TD3 now support PyTorch. * Learning Pendulum-v0 on torch version (same config as tf). Wall time a little slower (~20% than tf). * Fix GPU target model problem.
Ray Documentation
To compile the documentation, run the following commands from this directory. Note that Ray must be installed first.
pip install -r requirements-doc.txt
make html
open _build/html/index.html
To test if there are any build errors with the documentation, do the following.
sphinx-build -W -b html -d _build/doctrees source _build/html