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q-Taxi-v3
maurorisonho/q-Taxi-v3
q-Taxi-v3 is a reinforcement learning model from maurorisonho. 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 Tabular Q-Learning model playing Taxi-v3, developed for the Hugging Face Deep Reinforcement Learning Course (Unit 2).
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Public
Updated Sep 20, 2026
Repo size
130 KB
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.mp4105 KB · 79%
At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Sep 20, 2026
- Updated
- Sep 20, 2026
- SHA
- b50038ee
Model card
From the Hugging Face model README
Q-Learning Agent Playing Taxi-v3
This is a trained Tabular Q-Learning model playing Taxi-v3, developed for the Hugging Face Deep Reinforcement Learning Course (Unit 2).
🚀 Model Details
- Environment: Gymnasium
Taxi-v3 - Algorithm: Classical Tabular Q-Learning with Epsilon-Greedy Exploration
- Mean Reward: 7.5 +/- 2.7 (Passing score: >= 4.0)
- Status: Officially Verified & Certified
📦 Usage
import pickle
from huggingface_hub import hf_hub_download
q_table_path = hf_hub_download(repo_id="maurorisonho/q-Taxi-v3", filename="q-learning.pkl")
with open(q_table_path, "rb") as f:
q_table = pickle.load(f)
- Task
- Reinforcement Learning
- Created
- Sep 20, 2026
- Updated
- Sep 20, 2026