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ppo-Huggy – AI Model by Neexa4One | AlphaNeural AI
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Neexa4One
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ppo-Huggy
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ml-agents
tensorboard
onnx
unity-ml-agents
deep-reinforcement-learning
reinforcement-learning
ML-Agents-Huggy
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Deploy
ppo
Agent playing
Huggy
This is a trained model of a
ppo
agent playing
Huggy
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-Huggy
Step 1: Write your model_id: Neexa4One/ppo-Huggy
Step 2: Select your
.nn /
.onnx file
Click on Watch the agent play 👀
