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
TD3 Agent playing BipedalWalker-v3
This is a trained model of a TD3 agent playing BipedalWalker-v3 using the stable-baselines3 library.
This is a model, I trained without much knowledge without knowing what I was doing.
Tried to do this with the help of other code online, after going through the first unit of hugging face RL course.
Hope to learn more :)
- Downloads last month
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Evaluation results
- mean_reward on BipedalWalker-v3self-reported302.94 +/- 1.82