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q-Taxi-v3
muhrivandysetiawan/q-Taxi-v3
q-Taxi-v3 is a reinforcement learning model from muhrivandysetiawan. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product.
Trained from scratch with pure NumPy Q-Learning. Part of a 12-project Deep RL portfolio.
Access
Public
Updated Apr 9, 2026
Repo size
741 KB
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At a glance
- Task
- Reinforcement Learning
- Access
- Public
- Created
- Apr 7, 2026
- Updated
- Apr 9, 2026
- SHA
- d52015ea
Model card
From the Hugging Face model README
Q-Learning Agent — Taxi-v3
Trained from scratch with pure NumPy Q-Learning. Part of a 12-project Deep RL portfolio.
Performance
Mean reward: 7.54 +/- 2.71
Usage
model = load_from_hub(
repo_id="muhrivandysetiawan/q-Taxi-v3",
filename="q-learning.pkl"
)
env = gym.make(model["env_id"])
Algorithm
Q(s,a) ← Q(s,a) + α[r + γ·max Q(s',a') - Q(s,a)]
Hyperparameters
- learning_rate: 0.7
- gamma: 0.95
- max_epsilon: 1.0
- min_epsilon: 0.05
- decay_rate: 0.005
- n_training_episodes: 25000
Portfolio
Project 2/12 — HuggingFace Deep RL Curriculum Author: muhrivandysetiawan
- Task
- Reinforcement Learning
- Created
- Apr 7, 2026
- Updated
- Apr 9, 2026