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ppo-pushblock-9M
rebolforces/ppo-pushblock-9M
ppo-pushblock-9M is a reinforcement learning model from rebolforces. 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 ml-agents.
This is a trained model of a ppo agent playing PushBlock using the Unity ML-Agents Library.
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.pt17.5 MB · 80%
At a glance
- Task
- Reinforcement Learning
- Library
- ml-agents
- Access
- Public
- Created
- Aug 21, 2022
- Updated
- Aug 21, 2022
- SHA
- 75ff58fd
Model card
From the Hugging Face model README
ppo Agent playing PushBlock
This is a trained model of a ppo agent playing PushBlock using the Unity ML-Agents Library.
Usage (with ML-Agents)
The Documentation: https://github.com/huggingface/ml-agents#get-started We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
Resume the training
mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
Watch your Agent play
You can watch your agent playing directly in your browser:.
- Go to https://huggingface.co/spaces/unity/ML-Agents-PushBlock
- Step 1: Write your model_id: rebolforces/ppo-pushblock-9M
- Step 2: Select your .nn /.onnx file
- Click on Watch the agent play 👀
Stats
"final_checkpoint": {
"steps": 9000019,
"file_path": "results/PushBlock Training 2/PushBlock.onnx",
"reward": 4.981160132090251,
"creation_time": 1661076513.4570658,
"auxillary_file_paths": [
"results/PushBlock Training 2/PushBlock/PushBlock-9000019.pt"
]
}
- Task
- Reinforcement Learning
- Library
- ml-agents
- Created
- Aug 21, 2022
- Updated
- Aug 21, 2022