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LunarLander
nadirbekovnadir/LunarLander
LunarLander is a reinforcement learning model from nadirbekovnadir. 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
- May 8, 2022
- Updated
- May 14, 2022
- SHA
- daf119ed
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)
policy = 'MlpPolicy',
env = env,
n_steps = 1024,
batch_size = 32,
n_epochs = 4,
gamma = 0.9990,
gae_lambda = 0.995,
ent_coef = 0.005,
verbose=1)
model.learn(total_timesteps=2000000)```
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- May 8, 2022
- Updated
- May 14, 2022