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LunarLander-v2-PPO
mc-hugs/LunarLander-v2-PPO
LunarLander-v2-PPO is a reinforcement learning model from mc-hugs. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
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At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Nov 26, 2023
- Updated
- Nov 26, 2023
- SHA
- 8e345006
Model card
From the Hugging Face model README
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)
...
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)
...
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Nov 26, 2023
- Updated
- Nov 26, 2023