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ppo-mlp
billwong1220/ppo-mlp
ppo-mlp is a reinforcement learning model from billwong1220. 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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.mp4161 KB · 34%
At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Oct 23, 2023
- Updated
- Oct 23, 2023
- SHA
- 31d8c7f9
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)
TODO: Add your code
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
from stable_baselines3.ppo import MlpPolicy
model = PPO(
policy="MlpPolicy",
env=env,
n_steps=1024,
batch_size=64,
n_epochs=4,
gamma=0.9999,
gae_lambda=0.98,
ent_coef=0.01,
verbose=1,
)
model.learn(total_timesteps=1000000)
model_name = "ppo-LunarLander-v2"
model.save(model_name)
...
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Oct 23, 2023
- Updated
- Oct 23, 2023