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AntonDergunov/
LunarLander_PPO

Name: LunarLander_PPO
Availability: InStock

Stable-Baselines3

reinforcement-learning

deep-reinforcement-learning

PPO

LunarLander-v3

model-index

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AntonDergunov/LunarLander_PPO

This model was trained with PPO using Stable-Baselines3 on LunarLander-v3.

Usage

python

import gymnasium as gym
from stable_baselines3 import PPO
from huggingface_hub import hf_hub_download

model_path = hf_hub_download(repo_id="AntonDergunov/LunarLander_PPO", filename="model.zip")
model = PPO.load(model_path, device="cpu")

env = gym.make("LunarLander-v3")
obs, info = env.reset()

for _ in range(1000):
    action, _ = model.predict(obs, deterministic=True)
    obs, reward, terminated, truncated, info = env.step(action)

    if terminated or truncated:
        obs, info = env.reset()