* Fixing learn.py, trainer_controller.py, and Docker
- learn.py has been moved under trainers.
- this was a two line change
- learn.py will no longer be run as a main method
- docopt arguments are strings by default. learn.py now uses
this assumption to correctly parse arguments.
- trainer_controller.py now considers the Docker volume when
accepting a trainer config file path.
- the Docker container now uses mlagents-learn.
* Removing extraneous unity-volume ref.
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.
* added the pypiwin32 package
* fixed the break on mac, fixed part of pytest above version 4
* added something to the windows to help unstuck people
* resolved the comment
* Ticked API :
- Ticked API for pypi for mlagents
- Ticked API for pypi for unity-gym
- Ticked Communication number for API
- Ticked Model Loader number for API
* Ticked the API for the pytest
- Ticked API for pypi for mlagents
- Ticked API for pypi for mlagents_envs
- Ticked Communication number for API
- Ticked API for unity-gym
* Ticked the API for the pytest
- Move common functions to trainer.py, model.pyfromppo/trainer.py, ppo/policy.pyandppo/model.py'
- Introduce RLTrainer class and move most of add_experiences and some common reward
signal code there. PPO and SAC will inherit from this, not so much BC Trainer.
- Add methods to Buffer to enable sampling, truncating, and save/loading.
- Add scoping to create encoders in model.py
In order for downstream packages to make use of the latest
pre-release features, we can pre-release versions of our packages.
For packages ending in `devN` pip will not install that package
version by default. This change manually updates our package version
to a development version with the idea that we can manually perform
development versions with the potential for future automated / nightly
dev releases.
* relax versions, add python 3.7 to CI
* add workflows
* try paramaterized circleci build, disable slow test
* fix workflow
* fix (?) pyversion
* set job name, fix pip freeze output
* test_requirements.txt
* fix install
* fix paths (again) - should use pushd popd instead
* use pushd and popd
* sort deps, restore unit test, cleanup CI
* relax versions more
* clean up versions in docs
* test older libs for 3.6, newer for 3.7
* pip: progress bar off
* fix gym-unity pip install
* try cat'ing setups for checksum
* dont use fallback (temporarily)
* dont turn off progress bar before upgrading pip
* PR feedback
* add parameter descriptions in CI config
* add VERSION variable to each setup.py
* update setups and config
* fix index
* fix indent for real
* fix parameter
* Bump version to 0.11.0.dev0
* Change CircleCI config to support dev releases
* Minor fix to deploy regex
* fix url in comments
* More circleCI tweaks
* Remove filters / 0.11.0.dev3
* Use test .pypirc
* Add config file flag to twine
* Manually pass user and pass to twine
* 0.11.0.dev0
* add precommit validation step
* remove todo
* Revert version to 0.10.1
* Docstring tweaks
* fix gym version
* allow --version argument in mlagents-learn
* Develop version print add strings (#2945)
* add __version__ to libs
* more version info
* use actual version
This change adds a new 'mlagents-run-experiment' endpoint which
accepts a single YAML/JSON file providing all of the information that
mlagents-learn accepts via command-line arguments and file inputs.
As part of this change the curriculum configuration is simplified to
accept only a single file for all the curricula in an environment
rather than a file for each behavior.
* support tf2.x and python3.8
* tensorflow==2.2.0rc3 for python3.8
* stick with tf2.1 and py3.7 for now
* More gail visual steps in simple test (#3836)
* increase gail visual ppo steps
* increase to 2000
* tune steps down to 750
Co-authored-by: andrewcoh <54679309+andrewcoh@users.noreply.github.com>
* write release_tag too
* fix leading empty line
* update circle jobs and release tag logic
* set default to empty string
* set release tag, add sanity check
* Update Dockerfile
* Separate send environment data from reset (#4128)
* Fixed a typo on ML-Agents-Overview.md (#4130)
Fixed redundant "to" word from the sentence since it is probably a typo in document.
* Updated the badge’s link to point to the newest doc version
* Replaced all of the doc to release_3_doc
* Fix 3DBall and 3DBallHard SAC regressions (#4132)
* Move memory validation to settings
* Update docs
* Add settings test
* Update to release_3 in installation.md (#4144)
* rename to SideChannelManager +backcompat (#4137)
* Remove comment about logo with --help (#4148)
* [bugfix] Make FoodCollector heuristic playable (#4147)
* Make FoodCollector heuristic playable
* Update changelog
* script to check for old release links and references (#4153)
* Remove package validation suite from Project (#4146)
* RayPerceptionSensor: handle empty and invalid tags (#4155...
* [bug-fix] Don't load non-wrapped policy (#4593)
* pin cattrs version
* cap PyTorch version
* use v2 action and pin python version (#4568)
Co-authored-by: Ervin T <ervin@unity3d.com>
Co-authored-by: Chris Elion <chris.elion@unity3d.com>
* Torch setup.py
* Set torch to default
* Make torch default in setup.py
* Remove indents
* Remove other instances of TF being used
* Add tensorboard to setup.py
* Adding correst setup commands for verifying torch is installed (#4524)
* Adding correst setup commands for verifying torch is installed
* Editing the test_requirments to add tf and remove torch
* Develop torchdefault raise outside setup (#4530)
* Torch not imported error to raise at first usage
* Torch not imported error to raise at first usage
* [refactor] Use PyTorch TensorBoard utils (#4518)
* Convert stats writer to use PyTorch TB support
* Use common function to print params
* Update test
* Bump tensorboard to 1.15 to fix the tests
* putting tensorboard 1.15.0 as min version requirement
Co-authored-by: vincentpierre <vincentpierre@unity3d.com>
* [Docs] Initial documentation changes for making...
* Use float64 in GAIL tests
* Use float32 when converting np arrays by default
* Enforce torch 1.7.x or below
* Add comment about Windows install
* Adjust tests
Deric Pang
GitHub
Arthur Juliani
Jonathan Harper
vincentpierre
Ervin T
eshvk
Yuan Gao
Ervin Teng
Chris Elion
Anupam Bhatnagar
Jason Bowman
Andrew Cohen
Christopher Goy
Ruo-Ping Dong