Instructions to use sashank160105/ml-agents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use sashank160105/ml-agents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="sashank160105/ml-agents-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
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Download README.md from sashank160105/ml-agents-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 483 Bytes
-
https://huggingface.co/sashank160105/ml-agents-Pyramids/resolve/main/README.md
- Command line
-
hf download hf://sashank160105/ml-agents-Pyramids/README.md
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curl -L -o README.md https://huggingface.co/sashank160105/ml-agents-Pyramids/resolve/main/README.md
483 Bytes
metadata
tags:
- ML-Agents-Pyramids
- ml-agents
- reinforcement-learning
- unity-ml-agents
model-index:
- name: ml-agents-Pyramids
results:
- metrics:
- type: mean_reward
value: 10.00 +/- 1.00
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: ML-Agents-Pyramids
type: ML-Agents-Pyramids
ML-Agents Pyramids
This is a trained model of an agent playing Pyramids using Unity ML-Agents.