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txia-m/ppo-SpaceInvadersNoFrameskip-v4-try2
ppo-SpaceInvadersNoFrameskip-v4-try2 is a reinforcement learning model from txia-m. 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 SpaceInvadersNoFrameskip-v4 using the stable-baselines3 library.
Downloads · 30 days
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From the Hugging Face model README
This is a trained model of a PPO agent playing SpaceInvadersNoFrameskip-v4 using the stable-baselines3 library.
TODO: Add your code
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...