Instructions to use tvrpranay/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use tvrpranay/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="tvrpranay/ppo-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
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Download README.md from tvrpranay/ppo-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 330 Bytes
-
https://huggingface.co/tvrpranay/ppo-Pyramids/resolve/main/README.md
- Command line
-
hf download hf://tvrpranay/ppo-Pyramids/README.md
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curl -L -o README.md https://huggingface.co/tvrpranay/ppo-Pyramids/resolve/main/README.md
330 Bytes
metadata
tags:
- ML-Agents-Pyramids
- ppo
- ml-agents
- deep-rl-course
- reinforcement-learning
library_name: ml-agents
PPO Agent playing ML-Agents-Pyramids
This is a trained Unity ML-Agents PPO model playing ML-Agents-Pyramids.
Evaluation Results
- Mean Reward: 1.85
- Target Threshold: -100.00