Downloads · 30 days
0
q-FrozenLake-v1-4x4-noSlippery
mrr-codes/q-FrozenLake-v1-4x4-noSlippery
q-FrozenLake-v1-4x4-noSlippery is a reinforcement learning model from mrr-codes. 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 Jul 22, 2025
Repo size
147 KB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.mp4121 KB · 82%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Jun 20, 2024
- Updated
- Jul 22, 2025
- SHA
- 694f3db6
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="mrr-codes/q-FrozenLake-v1-4x4-noSlippery", 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
- Jun 20, 2024
- Updated
- Jul 22, 2025