diff --git a/doc/source/installation.rst b/doc/source/installation.rst index 18815a1f4..2337000ea 100644 --- a/doc/source/installation.rst +++ b/doc/source/installation.rst @@ -1,8 +1,9 @@ Installing Ray ============== -Ray currently supports MacOS and Linux. Windows support -is planned for the future. +.. important:: Join our `community slack `_ to discuss Ray! + +Ray currently supports MacOS and Linux. Windows support is planned for the future. Latest stable version --------------------- diff --git a/doc/source/raysgd/raysgd.rst b/doc/source/raysgd/raysgd.rst index cdeec3887..dadfdd275 100644 --- a/doc/source/raysgd/raysgd.rst +++ b/doc/source/raysgd/raysgd.rst @@ -16,6 +16,8 @@ The main features are: This API is new and may be revised in future Ray releases. If you encounter any bugs, please file an `issue on GitHub`_. +.. important:: Join our `community slack `_ to discuss Ray! + Getting Started --------------- diff --git a/doc/source/rllib.rst b/doc/source/rllib.rst index c0a45f598..68e30cc13 100644 --- a/doc/source/rllib.rst +++ b/doc/source/rllib.rst @@ -7,6 +7,8 @@ RLlib is an open-source library for reinforcement learning that offers both high To get started, take a look over the `custom env example `__ and the `API documentation `__. If you're looking to develop custom algorithms with RLlib, also check out `concepts and custom algorithms `__. +.. important:: Join our `community slack `_ to discuss Ray/RLlib! + RLlib in 60 seconds ------------------- diff --git a/doc/source/tune.rst b/doc/source/tune.rst index d8ddba936..4edf01411 100644 --- a/doc/source/tune.rst +++ b/doc/source/tune.rst @@ -17,6 +17,8 @@ Tune is a Python library for experiment execution and hyperparameter tuning at a .. _`Vizier's Median Stopping Rule`: tune-schedulers.html#median-stopping-rule .. _`HyperBand/ASHA`: tune-schedulers.html#asynchronous-hyperband +.. important:: Join our `community slack `_ to discuss Ray! + For more information, check out: * `Code `__: GitHub repository for Tune.