Instructions to use RafaelJaime/BVS_SB3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use RafaelJaime/BVS_SB3 with ml-agents:
mlagents-load-from-hf --repo-id="RafaelJaime/BVS_SB3" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
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Download README.md from RafaelJaime/BVS_SB3: direct link, hf CLI and curl.
- Browser
- Download file 978 Bytes
-
https://huggingface.co/RafaelJaime/BVS_SB3/resolve/main/README.md
- Command line
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hf download hf://RafaelJaime/BVS_SB3/README.md
-
curl -L -o README.md https://huggingface.co/RafaelJaime/BVS_SB3/resolve/main/README.md
978 Bytes
metadata
license: mit
pipeline_tag: reinforcement-learning
library_name: ml-agents
tags:
- BVS.1
- BVS
- deep-reinforcement-learning
- ML-Agents
ppo Agent playing BVS V1
This is a trained model of a ppo agent playing BroVSister using the Godot rl agents using the example of stable_baselines3.
Resume the training
python stable_baselines3_example.py --timesteps=100_000 --onnx_export_path=model.onnx
--save_model_path=model.zip --save_checkpoint_frequency=20_000 --experiment_name=exp1
Watch your Agent play
You can watch your agent playing directly in your browser
- Go to BVS Huggingface space and go to character select menu
- Step 1: Find your model_id: RafaelJaime/yourBVSmodelname
- Step 2: Select your .nn /.onnx file
- Click on Watch the agent play 👀