* Destroy stepper when playmode change
* Detroy stepper if it does not belong to the current Academy
Co-authored-by: Chris Elion <chris.elion@unity3d.com>
VisualFoodCollector is now an example environment of using a mix of visual and vector observation and is able to train with default config file.
Co-authored-by: Vincent-Pierre BERGES <vincentpierre@unity3d.com>
Added stacking to multi-dimensional and compressed observations and added compressed channel mapping in communicator to support decompression.
Co-authored-by: Vincent-Pierre BERGES <vincentpierre@unity3d.com>
Co-authored-by: Chris Elion <chris.elion@unity3d.com>
* Moved components to the tf folder and moved the TrainerFactory to the `trainer` folder
* Addressing comments
* Editing the migrating doc
* fixing test
* Fixing CPU resource allocation for new CI
* Update ml-agents/mlagents/torch_utils/cpu_utils.py
Co-authored-by: Ervin T. <ervin@unity3d.com>
* [skip ci] testing
* use shares only if on kubernetes
Co-authored-by: Ervin T. <ervin@unity3d.com>
* initial commit
* works with Pyramids
* added unit tests and a separate config file
* Adding first batch of documentation
* adding in the docs that rnd is only for PyTorch
* adding newline at the end of the config files
* adding some docs
* Code comments
* no normalization of the reward
* Fixing the tests
* [skip ci]
* [skip ci] Make sure RND will only work for Torch by editing the config file
* [skip ci] Additional information in the Documentation
* Remove the _has_updated_once flag
* Don't run value during inference
* Execute critic with LSTM
* Address comments
* Unformat
* Optimized soft update
* Move soft update to model utils
* Add test for soft update
* Added link to training configuration file
Realized this link to the configuration file is not linked on this page
* added clarity on checkpoints saving .nn
Updated doc to include point around saving .nn
* Update docs/Training-Configuration-File.md
Co-authored-by: Chris Elion <chris.elion@unity3d.com>
GitHub
Ervin Teng
Ruo-Ping Dong