We have an example of how to use our gym wrapper with OpenAI baselines,
but it was out of date with the latest updates to the baselines library.
This updates the instructions in the gym_unity README and adds an example
of using PPO2 with a Unity environment.
A test in `test_envs.py` launched a UnityEnvironment without mocking
the created communicator, leading to a port being reserved during the
test run. This in turn caused failures in later tests of
RpcCommunicator. This commit fixes that issue.
removed the Unity connect link as some folks were submitting issues there and getting lost. we do not actively monitor the connect channel and do not want to cause confusion
Some of our tests fail with the new pytest v4.0.x versions because of
a change to how fixtures work. Since these versions are the latest
release in PyPI now, unit tests will fail on a fresh install.
This change limits the version range in setup.py to fix the issue
until we can make a decision about upgrading.
* Simplified rewards and observations; Determined better settings for training within a reasonable amount of time.
* Simplified Agent rewards; Added training section that discusses hyperparameters.
* Added note about DecisionFrequency.
* Updated screenshots and a small clarification in the text.
* Tested and updated using v0.6.
* Update a couple of images, minor text edit.
* Replace with more recent training stats.
* resolve a couple of minor review commnts.
* Increased the recommended batch and buffer size hyperparameter values.
* Fix 2 typos.
Vincent(Yuan) Gao
Jonathan Harper
GitHub
eshvk
vincentpierre
Arthur Juliani