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FrozenLake
JpChi/FrozenLake
FrozenLake is a reinforcement learning model from JpChi. 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 model of a Q-Learning agent playing FrozenLake-v1 .
Access
Public
Updated May 28, 2025
Repo size
918 B
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.mp431.2 KB · 91%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- May 28, 2025
- Updated
- May 28, 2025
- SHA
- 1df7ec1e
Model card
From the Hugging Face model README
Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
model = load_from_hub(repo_id="JpChi/FrozenLake", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.make(model["env_id"])
- Task
- Reinforcement Learning
- Created
- May 28, 2025
- Updated
- May 28, 2025