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q-FrozenLake-v1-8x8
agcagc/q-FrozenLake-v1-8x8
q-FrozenLake-v1-8x8 is a reinforcement learning model from agcagc. 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 Feb 14, 2023
Repo size
20.7 KB
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Repo makeup
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.mp4160 KB · 94%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Feb 14, 2023
- Updated
- Feb 14, 2023
- SHA
- 08a0ba60
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="agcagc/q-FrozenLake-v1-8x8", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = gym.make('FrozenLake-v1', desc=None, map_name="8x8", is_slippery=True, max_episode_steps=max_steps)
- Task
- Reinforcement Learning
- Created
- Feb 14, 2023
- Updated
- Feb 14, 2023