maurorisonho/q-Taxi-v3

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)