Reinforcement Learning
stable-baselines3
tutorial
deep-reinforcement-learning-course
Eval Results (legacy)
Instructions to use JOSEFSUSON/ppo-Pendulum-v1-Excellence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use JOSEFSUSON/ppo-Pendulum-v1-Excellence with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="JOSEFSUSON/ppo-Pendulum-v1-Excellence", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
PPO Agent playing Pendulum-v1
This is a trained model of a PPO agent playing Pendulum-v1 using the stable-baselines3 library.
Evaluation Results
- Mean Reward: -275.82 +/- 139.80
- Environment: Pendulum-v1
- Framework: Stable-Baselines3 (PPO)
- Downloads last month
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Evaluation results
- mean_reward on Pendulum-v1self-reported-275.82 +/- 139.80