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Taxi-v3
KavyaChinta05/Taxi-v3
Taxi-v3 is a reinforcement learning model from KavyaChinta05. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for custom-implementation.
This model was trained from scratch using Q-Learning for the Hugging Face Deep Reinforcement Learning Course, Unit 2.
Access
Public
Updated Sep 9, 2026
Repo size
24.6 KB
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Repo makeup
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.pkl24.6 KB · 91%
At a glance
- Task
- Reinforcement Learning
- Library
- custom-implementation
- Access
- Public
- Created
- Sep 9, 2026
- Updated
- Sep 9, 2026
- SHA
- 05d166d5
Model card
From the Hugging Face model README
Q-Learning Agent - Taxi-v3
This model was trained from scratch using Q-Learning for the Hugging Face Deep Reinforcement Learning Course, Unit 2.
Evaluation
- Environment: Taxi-v3
- Evaluation episodes: 100
- Mean reward: 7.56
- Standard deviation: 2.71
- Certification score: 4.85
- Required score: 4.50
Training
- Algorithm: Q-Learning
- Training episodes: 50,000
- Learning rate: 0.8
- Discount factor (gamma): 0.95
- Initial epsilon: 1.0
- Minimum epsilon: 0.05
- Epsilon decay rate: 0.0001
The trained Q-table is stored in q-learning.pkl.
- Task
- Reinforcement Learning
- Library
- custom-implementation
- Created
- Sep 9, 2026
- Updated
- Sep 9, 2026