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FrozenLake-4x4-Slippery_CustomEnv
gadhane/FrozenLake-4x4-Slippery_CustomEnv
FrozenLake-4x4-Slippery_CustomEnv is a reinforcement learning model from gadhane. 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 Dec 15, 2023
Repo size
902 B
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0
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Repo makeup
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.mp445.4 KB · 93%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Dec 15, 2023
- Updated
- Dec 15, 2023
- SHA
- 3c8978af
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="gadhane/FrozenLake-4x4-Slippery_CustomEnv", 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
- Dec 15, 2023
- Updated
- Dec 15, 2023