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PPO-LunarLander-v2
Darainer2050/PPO-LunarLander-v2
PPO-LunarLander-v2 is a reinforcement learning model from Darainer2050. 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
- Jan 4, 2024
- Updated
- Jan 5, 2024
- SHA
- 04a76f7f
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)
increased the model variants to 32, env = make_vec_env('LunarLander-v2', n_envs=32) this improved the performance somewhat from the standard example
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Jan 4, 2024
- Updated
- Jan 5, 2024