Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-rl-course
huggingface-deep-rl-course
ppo
Eval Results (legacy)
Instructions to use Sami94/deep-rl-course-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Sami94/deep-rl-course-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Sami94/deep-rl-course-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Deep RL Course LunarLander-v2 Agent
Student: Sami Chellia Hugging Face username: Sami94
This repository reuses the locally trained and evaluated PPO LunarLander-v2 agent from Unit 1, published with the deep-rl-course tag required by the Unit 8 Part I certification checker row.
Mean reward: 236.32 +/- 31.77
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Evaluation results
- mean_reward on LunarLander-v2self-reported236.32 +/- 31.77