Instructions to use Surya198382/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Surya198382/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Surya198382/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
ppo-LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
- Unit: Unit 1 of the Hugging Face Deep RL Course.
- Library:
stable-baselines3 - Algorithm:
PPO - Environment:
LunarLander-v2 - Mean Reward:
280.00 +/- 15.00
Description
Trained PPO agent on LunarLander-v2 using Stable-Baselines3 for Hugging Face Deep RL Course Unit 1.
Usage
This agent was uploaded as part of the Hugging Face Deep Reinforcement Learning Course assignments by Surya198382.
- Downloads last month
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Evaluation results
- mean_reward on LunarLander-v2self-reported280.00 +/- 15.00