The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Hi!
I am currently performing the hands-on exercise of the Deep-RL course on HuggingFace. Link:- https://huggingface.co/learn/deep-rl-course/unit7/hands-on.
The installation process takes us from installing the toolkit to pushing the model to the Huggingface hub. However, I am facing this error while pushing the trained model.
mlagents-push-to-hf : The term 'mlagents-push-to-hf' is not recognized as the name of a cmdlet, function, script file,
or operable program. Check the spelling of the name, or if a path was included, verify that the path is correct and
try again.
At line:1 char:1
+ mlagents-push-to-hf --run-id="SoccerTwos" --local-dir=".\results\Soc ...
+ ~~~~~~~~~~~~~~~~~~~
+ CategoryInfo : ObjectNotFound: (mlagents-push-to-hf:String) [], CommandNotFoundException
+ FullyQualifiedErrorId : CommandNotFoundException
So is it possible to add the feature of pushing and loading models from huggingface hub to the branch release_20? Like it is in the develop branch. Also if the develop branch is in fact the most stable one currently and not release_20, then wouldn't it be advisable to update the documentation?
Hi! I am currently performing the hands-on exercise of the Deep-RL course on HuggingFace. Link:- https://huggingface.co/learn/deep-rl-course/unit7/hands-on. The installation process takes us from installing the toolkit to pushing the model to the Huggingface hub. However, I am facing this error while pushing the trained model.
According to the documentation https://github.com/Unity-Technologies/ml-agents/blob/develop/docs/Installation.md the recommended branch is release_20, because the main branch is quite unstable.
So is it possible to add the feature of pushing and loading models from huggingface hub to the branch release_20? Like it is in the develop branch. Also if the develop branch is in fact the most stable one currently and not release_20, then wouldn't it be advisable to update the documentation?