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Eric Liang 9ea57c2a93 [rllib] Basic IMPALA implementation (using deepmind's reference vtrace.py) (#2504 )

Rename AsyncSamplesOptimizer -> AsyncReplayOptimizer
  Add AsyncSamplesOptimizer that implements the IMPALA architecture
  integrate V-trace with a3c policy graph
  audit V-trace integration
  benchmark compare vs A3C and with V-trace on/off
PongNoFrameskip-v4 on IMPALA scaling from 16 to 128 workers, solving Pong in <10 min. For reference, solving this env takes ~40 minutes for Ape-X and several hours for A3C.

2018-08-01 20:53:53 -07:00

_build

Get Sphinx infrastructure in place

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

source

[rllib] Basic IMPALA implementation (using deepmind's reference vtrace.py) (#2504 )

2018-08-01 20:53:53 -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