Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use yojitha/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use yojitha/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="yojitha/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
ppo-LunarLander-v2
Trained PPO agent playing LunarLander-v2 for Hugging Face Deep RL Course Unit 1.
This model was trained as part of the Hugging Face Deep Reinforcement Learning Course.
Model Details
- User: yojitha
- Course Unit: Unit 1
- Task: Reinforcement Learning
- Downloads last month
- 4
Evaluation results
- mean_reward on LunarLander-v2self-reported260.00 +/- 10.00