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q-Taxi-v2-SnEhAh018
SnEhAh018/q-Taxi-v2-SnEhAh018
q-Taxi-v2-SnEhAh018 is a reinforcement learning model from SnEhAh018. 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 gymnasium.
This model was trained using the Q-Learning algorithm from the Hugging Face Deep Reinforcement Learning Course.
Access
Public
Updated Sep 23, 2026
Repo size
49.2 KB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.pkl24.6 KB · 91%
At a glance
- Task
- Reinforcement Learning
- Library
- gymnasium
- Access
- Public
- Created
- Sep 23, 2026
- Updated
- Sep 23, 2026
- SHA
- 1d6d65e3
Model card
From the Hugging Face model README
Q-Learning Taxi-v3
This model was trained using the Q-Learning algorithm from the Hugging Face Deep Reinforcement Learning Course.
Environment
- Environment: Taxi-v3
- Algorithm: Q-Learning
- State space: 500
- Action space: 6
Training
Number of training episodes: 10000
Learning rate: 0.7
Gamma: 0.95
Maximum epsilon: 1.0
Minimum epsilon: 0.05
Decay rate: 0.0005
Model
The trained Q-table is stored in:
q-learning.pkl
This project was completed as part of the Hugging Face Deep Reinforcement Learning Course - Unit 2.
- Task
- Reinforcement Learning
- Library
- gymnasium
- Created
- Sep 23, 2026
- Updated
- Sep 23, 2026