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FrozenLake-v1-8x8-Slippery
yashrajkupekar/FrozenLake-v1-8x8-Slippery
FrozenLake-v1-8x8-Slippery is a reinforcement learning model from yashrajkupekar. 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 Mar 12, 2025
Repo size
2.4 KB
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0
Public
Repo makeup
Click a slice to open those files.
.pkl2.4 KB · 50%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Mar 11, 2025
- Updated
- Mar 12, 2025
- SHA
- 8e46753c
Model card
From the Hugging Face model README
Q-Learning Agent playing FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
Usage
model = load_from_hub(repo_id="yashrajkupekar/FrozenLake-v1-8x8-Slippery", 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
- Mar 11, 2025
- Updated
- Mar 12, 2025