- Highlighting Python snippet in FAQ.
- Fixing import in Python API doc.
- ml-agents-protbuf now automatically places generated files in
the correct directory.
* [Initial Commit]
Modified the model.py file and the ppo/trainer.py file to use masked actions
* Preliminary modifications to the python side of the code to enable action masking
* Preliminary modifications to the C# side of the code to enable action masking
* Preliminary modifications to the communication side of the code to enable action masking
* Implemented action masking for BC
Note : The actions of the teacher are not masked
* More error messages for the action masking
* fix pytests
* Added Documentation
* Address comment
* Addressed Comments on docs
* Addressed second comment on docs
* Addressed comments for the python side of the code
* Created the action masker and associated unit tests
* Addressed comments on the C# side
* Addressed the comment regarding action_masking_name
* Addressed the comments
* Update Feature-Monitor.md
Adds details on 1) how to activate the monitor and 2) how to be able to use a target transform to display the information on.
* Update Feature-Monitor.md
Updated with suggestions from reviewer.
- Dockerfile pulls in the mlagents directory now.
- Installs mlagents package locally with `pip install .`.
- Clients should now place trainer configs in unity-volume.
Deric Pang
GitHub
Arthur Juliani
Marwan Mattar
vincentpierre