Downloads · 30 days
0
apetrenko/sample_factory_brax_humanoid
sample_factory_brax_humanoid is a reinforcement learning model from apetrenko. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for sample-factory.
A(n) APPO model trained on the humanoid environment.
Downloads · 30 days
0
Access
Public
Updated Jan 12, 2023
Repo size
12.9 MB
Likes
1
Public
Click a slice to open those files.
.pth10.5 MB · 81%
From the Hugging Face model README
A(n) APPO model trained on the humanoid environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory. Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
After installing Sample-Factory, download the model with:
python -m sample_factory.huggingface.load_from_hub -r apetrenko/sample_factory_brax_humanoid
To run the model after download, use the enjoy script corresponding to this environment:
python -m sf_examples.brax.enjoy_brax --algo=APPO --env=humanoid --train_dir=./train_dir --experiment=sample_factory_brax_humanoid
You can also upload models to the Hugging Face Hub using the same script with the --push_to_hub flag.
See https://www.samplefactory.dev/10-huggingface/huggingface/ for more details
To continue training with this model, use the train script corresponding to this environment:
python -m sf_examples.brax.train_brax --algo=APPO --env=humanoid --train_dir=./train_dir --experiment=sample_factory_brax_humanoid --restart_behavior=resume --train_for_env_steps=10000000000
Note, you may have to adjust --train_for_env_steps to a suitably high number as the experiment will resume at the number of steps it concluded at.