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irinaene/
ppo-LunarLander-v2

Name: ppo-LunarLander-v2
Availability: InStock

stable-baselines3

LunarLander-v2

deep-reinforcement-learning

reinforcement-learning

model-index

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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 load the model, use:

python

from stable_baselines3 import PPO
from huggingface_sb3 import load_from_hub

repo_id = "irinaene/ppo-LunarLander-v2"
filename = "ppo-LunarLander-v2.zip"

checkpoint = load_from_hub(repo_id, filename)
model = PPO.load(checkpoint, print_system_info=True)

To evaluate the model performance, use:

python

import gymnasium as gym

from stable_baselines3.common.monitor import Monitor
from stable_baselines3.common.evaluation import evaluate_policy

# create evaluate environment
eval_env = Monitor(gym.make("LunarLander-v2"))
# evaluate performance with 10 evaluation episodes
mean_reward, std_reward = evaluate_policy(model, eval_env, n_eval_episodes=10, deterministic=True)
print(f"mean_reward={mean_reward:.2f} +/- {std_reward}")