Reinforcement Learning
stable-baselines3
TensorBoard
BipedalWalker-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use SuperSecureHuman/BipedalWalker-v3-TD3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use SuperSecureHuman/BipedalWalker-v3-TD3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="SuperSecureHuman/BipedalWalker-v3-TD3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
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# **TD3** Agent playing **BipedalWalker-v3**
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This is a trained model of a **TD3** agent playing **BipedalWalker-v3** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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# **TD3** Agent playing **BipedalWalker-v3**
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This is a trained model of a **TD3** agent playing **BipedalWalker-v3** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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This is a model, I trained without much knowledge without knowing what I was doing.
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Tried to do this with the help of other code online, after going through the first unit of hugging face RL course.
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Hope to learn more :)
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