* [containers] Enables container support for scenes that use visual observations
* [Initial Commit] Works only with simple balance ball
* [Optimiztion] Store the academy in the brainBatcher as a temporary measure
* [Modifications] Made it work from the editor as a prototype
* [Made socket communicator and reimplmented all functionalities]
* [Forgotten file] removed .meta file
* [Forgot the meta file]
* [Metafile] deleted metafile
* [Comments] Removed dead code
* [Comments] Added some descriptions
* [Bug Fix] Multi brain scenario
* [improved AgentInfo converter]
* [Optimization] Remove VectorObs since StackedVectorObs is present in the AgentInfo protobuf object
* [Timeout] Implemented a timeout for the rpc communicator in Unity
* [Libraries] Added the C# Protobuf and Grpc libraries
* [Requirements] Added protobuf 3.5.2 to the requirements
* [Code Formating] Removed dead code and split some lines
...
- Dockerfile pulls in the mlagents directory now.
- Installs mlagents package locally with `pip install .`.
- Clients should now place trainer configs in unity-volume.
* [bug-fix] Increase height of wall in CrawlerStatic (#3650)
* [bug-fix] Improve performance for PPO with continuous actions (#3662)
* Corrected a typo in a name of a function (#3670)
OnEpsiodeBegin was corrected to OnEpisodeBegin in Migrating.md document
* Add Academy.AutomaticSteppingEnabled to migration (#3666)
* Fix editor port in Dockerfile (#3674)
* Hotfix memory leak on Python (#3664)
* Hotfix memory leak on Python
* Fixing
* Fixing a bug in the heuristic policy. A decision should not be requested when the agent is done
* [bug-fix] Make Python able to deal with 0-step episodes (#3671)
* adding some comments
Co-authored-by: Ervin T <ervin@unity3d.com>
* Remove vis_encode_type from list of required (#3677)
* Update changelog (#3678)
* Shorten timeout duration for environment close (#3679)
The timeout duration for closing an environment was set to the
same duration as the timeout when waiting ...
The "docker target" feature and associated command-line flag
--docker-target-name were created for use with the now-deprecated
Docker setup. This feature redirects the paths used by learn.py
for the environment and config files to be based from a directory
other than the current working directory. Additionally it wrapped
the environment execution with xvfb-run.
This commit removes the "docker target" feature because:
* Renaming the paths doesn't fix any problem. Absolute paths can
already be passed for configs and environment executables.
* Use of xserver, Xvfb, or xvfb-run are independent of mlagents-learn
and can be used outside of the mlagents-learn call. Further, xvfb-run
is not the only solution for software rendering.
* Updates the ML-Agents Docker image based on things
we have learned from training in the cloud.
* Automatically pushes the image to our own GCP projects
on each release.
eshvk
GitHub
Deric Pang
Jonathan Harper