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q-FrozenLake-v1-4x4-noSlippery
tanu20/q-FrozenLake-v1-4x4-noSlippery
q-FrozenLake-v1-4x4-noSlippery is a reinforcement learning model from tanu20. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
This repository contains a Q-Learning agent trained from scratch using NumPy and Gymnasium.
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Public
Updated Sep 23, 2026
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At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Sep 23, 2026
- Updated
- Sep 23, 2026
- SHA
- fc7a3f52
Model card
From the Hugging Face model README
Q-Learning Agent
This repository contains a Q-Learning agent trained from scratch using NumPy and Gymnasium.
Environment: FrozenLake-v1
Training episodes: 10000
Learning rate: 0.7
Gamma: 0.95
Maximum epsilon: 1.0
Minimum epsilon: 0.05
Decay rate: 0.0005
Mean reward: 1.00
Standard deviation: 0.00
Score: 1.00
- Task
- Reinforcement Learning
- Created
- Sep 23, 2026
- Updated
- Sep 23, 2026