LunarLander-v2 deep-reinforcement-learning reinforcement-learning stable-baselines3

PPO Agent playing LunarLander-v2

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

Usage (with Stable-baselines3)

To use this pre-trained PPO agent for playing LunarLander-v2, you can follow these steps:

  1. First, make sure you have the stable-baselines3 library installed. You can install it using pip:
   pip install stable-baselines3
  1. Next, you can load the pre-trained agent using the load_from_hub function from the huggingface_sb3 module:
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.