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q-FrozenLake-v1-4x4
hishamcse/q-FrozenLake-v1-4x4
q-FrozenLake-v1-4x4 is a reinforcement learning model from hishamcse. 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 Aug 12, 2024
Repo size
1.8 KB
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0
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Repo makeup
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.mp445 KB · 92%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Jun 11, 2024
- Updated
- Aug 12, 2024
- SHA
- f11496d7
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 .
Codes
Github repos(Give a star if found useful):
- https://github.com/hishamcse/DRL-Renegades-Game-Bots
- https://github.com/hishamcse/Advanced-DRL-Renegades-Game-Bots
- https://github.com/hishamcse/Robo-Chess
Kaggle Notebook:
Usage
model = load_from_hub(repo_id="hishamcse/q-FrozenLake-v1-4x4", 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 11, 2024
- Updated
- Aug 12, 2024