Instructions to use mohanpoduri2005/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use mohanpoduri2005/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="mohanpoduri2005/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Trained PPO Agent for LunarLander-v2
This model is a trained PPO agent submitted for Unit 1 of the Hugging Face Deep Reinforcement Learning Course.
Model Details
- User: mohanpoduri2005
- Unit: Unit 1
- Environment:
LunarLander-v2 - Library:
stable-baselines3 - Algorithm: PPO
- Evaluation Score:
285.0 +/- 12.0 - Min Passing Result Required:
200
Usage
This repository contains the trained model weights and evaluation metadata ready to be benchmarked and evaluated on the Deep RL Course Leaderboard.
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Evaluation results
- mean_reward on LunarLander-v2self-reported285.0 +/- 12.0