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hungtrab/
LunarLander-v2-ppo-MlpPolicy

Name: LunarLander-v2-ppo-MlpPolicy
Availability: InStock

stable-baselines3

LunarLander-v2

deep-reinforcement-learning

reinforcement-learning

model-index

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PPO Agent playing LunarLander-v2

This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.

See the python and dependencies version in ppo-LunarLander-v2/system_info.txt.

Installation

The requirements in the original notebook doesn't work now (August 2025), use the following instead

bash

pip install stable-baselines3==2.0.0a5
pip install swig
pip install gymnasium
pip install box2d-py
pip install huggingface_sb3

Usage (with Stable-baselines3)

TODO: Add your code

python

from stable_baselines3 import PPO
from huggingface_sb3 import load_from_hub

repo_id = "hungtrab/LunarLander-v2-ppo-MlpPolicy" # The repo_id
filename = "ppo-LunarLander-v2.zip" # The model filename.zip

checkpoint = load_from_hub(repo_id, filename)
model = PPO.load(checkpoint, print_system_info=True)

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