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poisqy/
ppo-LunarLander-v3

Name: ppo-LunarLander-v3
Availability: InStock

stable-baselines3

LunarLander-v2

LunarLander-v3

deep-reinforcement-learning

reinforcement-learning

model-index

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PPO Agent playing LunarLander-v3

Preview

This is a trained model of a PPO agent playing LunarLander-v3 using the stable-baselines3 library.

Usage (with Stable-baselines3)

python

import gymnasium as gym
from stable_baselines3 import PPO
from stable_baselines3.common.env_util import make_vec_env

env = make_vec_env("LunarLander-v3", n_envs=8)

model = PPO(
    policy="MlpPolicy",
    env=env,
    n_steps=1024,
    batch_size=64,
    n_epochs=4,
    gamma=0.999,
    gae_lambda=0.98,
    ent_coef=0.01,
    verbose=1,
)

model.learn(total_timesteps=1_000_000)
model.save("ppo-lunarlander-v3-full")

print("Entraînement terminé et modèle sauvegardé !")

poisqy/ppo-LunarLander-v3

PPO Agent playing LunarLander-v3

Usage (with Stable-baselines3)

poisqy/
ppo-LunarLander-v3