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Carlo-Reinforce-unit_4
ShuzhengTian/Carlo-Reinforce-unit_4
Carlo-Reinforce-unit_4 is a reinforcement learning model from ShuzhengTian. 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 Reinforce agent playing {envid} . To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
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Public
Updated Oct 13, 2025
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At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Oct 11, 2025
- Updated
- Oct 13, 2025
- SHA
- c007a7f0
Model card
From the Hugging Face model README
Reinforce Agent playing {CartPole-v1}
This is a trained model of a Reinforce agent playing {env_id} . To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
Usage (with Stable-baselines3)
def load_policy(ckpt_path, s_size, a_size, h_size, device="cpu"):
policy = Policy(s_size, a_size, h_size).to(device)
policy.load_state_dict(torch.load(ckpt_path, map_location=device))
policy.eval()
return policy
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
from inference import load_policy()
...
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Oct 11, 2025
- Updated
- Oct 13, 2025