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Eric LiangandGitHub 68660453e4 [rllib] Better support and add two-trainer example for multiagent (#2443 )

This adds a simple DQN+PPO example for multi-agent. We don't do anything fancy here, just syncing weights between two separate trainers. This potentially is wasting some compute, but is very simple to set up.

It might be nice to share experience collection between the top-level trainers in the future.

2018-07-22 05:09:25 -07:00

_build

Get Sphinx infrastructure in place

2016-07-01 18:21:02 -07:00

source

[rllib] Better support and add two-trainer example for multiagent (#2443 )

2018-07-22 05:09:25 -07:00

make.bat

Get Sphinx infrastructure in place

2016-07-01 18:21:02 -07:00

Makefile

Move documentation to ReadTheDocs. (#326 )

2017-02-27 21:14:31 -08:00

README.md

Only install ray python packages. (#330 )

2017-03-01 23:34:44 -08:00

requirements-doc.txt

Change ray.worker.cleanup -> ray.shutdown and improve API documentation. (#2374 )

2018-07-12 12:00:00 -07:00

README.md

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