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FrozenLake
elemosynov/FrozenLake
FrozenLake is a reinforcement learning model from elemosynov. 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 Taxi-v3 .
Access
Public
Updated Nov 2, 2023
Repo size
914 B
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0
Public
Repo makeup
Click a slice to open those files.
.mp423.4 KB · 87%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Nov 2, 2023
- Updated
- Nov 2, 2023
- SHA
- ff3b45cb
Model card
From the Hugging Face model README
Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
Usage
model = load_from_hub(repo_id="elemosynov/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
- Nov 2, 2023
- Updated
- Nov 2, 2023