Reinforcement Learning
stable-baselines3
CartPole-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use mtalec/a2c-cartpole with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use mtalec/a2c-cartpole with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="mtalec/a2c-cartpole", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit History
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Trained A2C model for CartPole-v1 with WandB tracking
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Trained A2C model for CartPole-v1 with WandB tracking
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Trained A2C model for CartPole-v1 with WandB tracking
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Update README.md
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Trained A2C model for CartPole-v1
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Trained A2C model for CartPole-v1
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initial commit
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