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q-FrozenLake-v1-4x4-noSlippery
macoberry/q-FrozenLake-v1-4x4-noSlippery
q-FrozenLake-v1-4x4-noSlippery is a reinforcement learning model from macoberry. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
This is a trained Q-Learning agent playing FrozenLake-v1.
Access
Public
Updated Apr 30, 2026
Repo size
1.8 KB
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0
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Repo makeup
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.mp431.3 KB · 90%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Apr 29, 2026
- Updated
- Apr 30, 2026
- SHA
- 6ddd4c19
Model card
From the Hugging Face model README
Q-Learning Agent playing FrozenLake-v1
This is a trained Q-Learning agent playing FrozenLake-v1.
Usage
from huggingface_hub import hf_hub_download
import pickle, gymnasium as gym
path = hf_hub_download(repo_id="macoberry/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
with open(path, "rb") as f:
model = pickle.load(f)
env = gym.make(model["env_id"])
- Task
- Reinforcement Learning
- Created
- Apr 29, 2026
- Updated
- Apr 30, 2026