[rllib] Add scaling guide to documentation, improve bandit docs (#7780)

* update

* reword

* update

* ms

* multi node sgd

* reorder

* improve bandit docs

* contrib

* update

* ref

* improve refs

* fix build

* add pillow dep

* add pil

* update pil

* pillow

* remove false
This commit is contained in:
Eric Liang
2020-03-27 22:05:43 -07:00
committed by GitHub
parent 7b27ce2b23
commit 5cebee68d6
9 changed files with 134 additions and 70 deletions
+6 -8
View File
@@ -96,7 +96,12 @@ RLlib `Trainer classes <rllib-concepts.html#trainers>`__ coordinate the distribu
Synchronous Sampling (e.g., A2C, PG, PPO)
RLlib uses `Ray actors <actors.html>`__ to scale training from a single core to many thousands of cores in a cluster. You can `configure the parallelism <rllib-training.html#specifying-resources>`__ used for training by changing the ``num_workers`` parameter.
RLlib uses `Ray actors <actors.html>`__ to scale training from a single core to many thousands of cores in a cluster. You can `configure the parallelism <rllib-training.html#specifying-resources>`__ used for training by changing the ``num_workers`` parameter. Check out our `scaling guide <rllib-training.html#scaling-guide>`__ for more details here.
Application Support
~~~~~~~~~~~~~~~~~~~
Beyond environments defined in Python, RLlib supports batch training on `offline datasets <rllib-offline.html>`__, and also provides a variety of integration strategies for `external applications <rllib-env.html#external-agents-and-applications>`__.
Customization
~~~~~~~~~~~~~
@@ -105,13 +110,6 @@ RLlib provides ways to customize almost all aspects of training, including the `
.. image:: rllib-components.svg
Application Support
~~~~~~~~~~~~~~~~~~~
Beyond environments defined in Python, RLlib supports batch training on `offline datasets <rllib-offline.html>`__, and also provides a variety of integration strategies for `external applications <rllib-env.html#external-agents-and-applications>`__:
.. image:: rllib-external.svg
To learn more, proceed to the `table of contents <rllib-toc.html>`__.
.. |tensorflow| image:: tensorflow.png