Reinforcement Learning
stable-baselines3
InvertedPendulum-v2
deep-reinforcement-learning
InvertedPendulum-v4
Eval Results (legacy)
Instructions to use qgallouedec/ppo-InvertedPendulum-v2-115154852 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use qgallouedec/ppo-InvertedPendulum-v2-115154852 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="qgallouedec/ppo-InvertedPendulum-v2-115154852", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
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Download README.md from qgallouedec/ppo-InvertedPendulum-v2-115154852: direct link, hf CLI and curl.
- Browser
- Download file 469 Bytes
-
https://huggingface.co/qgallouedec/ppo-InvertedPendulum-v2-115154852/resolve/main/README.md
- Command line
-
hf download hf://qgallouedec/ppo-InvertedPendulum-v2-115154852/README.md
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curl -L -o README.md https://huggingface.co/qgallouedec/ppo-InvertedPendulum-v2-115154852/resolve/main/README.md
469 Bytes
metadata
library_name: stable-baselines3
tags:
- InvertedPendulum-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
- InvertedPendulum-v4
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: InvertedPendulum-v2
type: InvertedPendulum-v2
metrics:
- type: mean_reward
value: 11.20 +/- 0.98
name: mean_reward
verified: false