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koteiketuc/
ppo_lunar_lander_v3

Name: ppo_lunar_lander_v3
Availability: InStock

stable-baselines3

deep-reinforcement-learning

reinforcement-learning

LunarLander-v3

model-index

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PPO Agent Playing LunarLander-v3

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

# Load model from the Hub
model = PPO.load("koteiketuc/ppo_lunar_lander_v3/ppo_lunar_lander_v3", custom_objects={"lr_schedule": 0.0003, "clip_range": 0.1})

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

# Play an episode
while True:
    action, _ = model.predict(obs, deterministic=True)
    obs, reward, terminated, truncated, info = env.step(action)
    if terminated or truncated:
        break

env.close()

koteiketuc/ppo_lunar_lander_v3

PPO Agent Playing LunarLander-v3

Usage (with Stable-baselines3)

Video of Agent Playing LunarLander-v3

koteiketuc/
ppo_lunar_lander_v3