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LunarLander-v2-PPO
Eslam25/LunarLander-v2-PPO
LunarLander-v2-PPO is a reinforcement learning model from Eslam25. 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.
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.zip147 KB · 98%
At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Dec 12, 2022
- Updated
- Dec 27, 2022
- SHA
- c9802c4f
Model card
From the Hugging Face model README
To Import and Use the model
from stable_baselines3 import PPO
from huggingface_sb3 import load_from_hub
repo_id = "Eslam25/LunarLander-v2-PPO"
filename = "ppo_1st.zip"
custom_objects = {
"learning_rate": 0.0,
"lr_schedule": lambda _: 0.0,
"clip_range": lambda _: 0.0,
}
checkpoint = load_from_hub(repo_id, filename)
model = PPO.load(checkpoint, custom_objects=custom_objects, print_system_info=True)
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Dec 12, 2022
- Updated
- Dec 27, 2022