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miguel-kjh/ppo-LunarLander-v2
ppo-LunarLander-v2 is a reinforcement learning model from miguel-kjh. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
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From the Hugging Face model README
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
To use this pre-trained PPO agent for playing LunarLander-v2, you can follow these steps:
pip install stable-baselines3
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
# Load the pre-trained PPO agent for LunarLander-v2
model = load_from_hub("username/stable-baselines3-lunarlander-ppo")
Once you have loaded the model, you can use it to interact with the LunarLander-v2 environment and observe its performance or fine-tune it for your specific use case.
Feel free to adapt and extend this code snippet to suit your reinforcement learning needs with the stable-baselines3 library and this pre-trained PPO agent.