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mc-hugs/
LunarLander-v2-PPO

Name: LunarLander-v2-PPO
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)

python

...
model = PPO(policy='MlpPolicy', env = env, verbose = True)
...
model.learn(total_timesteps=1000000, progress_bar=True)
...
eval_env = Monitor(gym.make("LunarLander-v2"))
mean_reward, std_reward = evaluate_policy(model, eval_env, n_eval_episodes=10, deterministic=True)
...

mc-hugs/LunarLander-v2-PPO

PPO Agent playing LunarLander-v2

Usage (with Stable-baselines3)

mc-hugs/
LunarLander-v2-PPO