Instructions to use RyanAA/ppo-PushBlock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use RyanAA/ppo-PushBlock with ml-agents:
mlagents-load-from-hf --repo-id="RyanAA/ppo-PushBlock" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
File size: 465 Bytes
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tags:
- reinforcement-learning
- ml-agents
- unity
- ppo
- ML-Agents-PushBlock
license: mit
---
%%writefile README.md
# PPO PushBlock Agent
This model was trained using PPO with Unity ML-Agents in the PushBlock environment.
## Environment
PushBlock
## Algorithm
PPO (Proximal Policy Optimization)
## Files
- `PushBlock.onnx` — trained policy network
## View
1. https://huggingface.co/spaces/unity/ML-Agents-PushBlock
2. RyanAA
## Author
Ryan Aparicio |