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q-learning-Taxi-v3
bestdive/q-learning-Taxi-v3
q-learning-Taxi-v3 is a reinforcement learning model from bestdive. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Trained from scratch for Kay Zheng's Hugging Face Deep RL coursework with AI coding assistance. 50,000 training episodes, NumPy seed 42, Gymnasium 0.29.1. Independent evaluation: 1,000 episodes, reset seeds 100000–100…
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Updated Sep 10, 2026
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.npy24.1 KB · 68%
At a glance
- Task
- Reinforcement Learning
- License
- mit
- Access
- Public
- Created
- Sep 10, 2026
- Updated
- Sep 10, 2026
- SHA
- ea0b64df
Model card
From the Hugging Face model README
Q-learning Taxi-v3
Trained from scratch for Kay Zheng's Hugging Face Deep RL coursework with AI coding assistance. 50,000 training episodes, NumPy seed 42, Gymnasium 0.29.1. Independent evaluation: 1,000 episodes, reset seeds 100000–100999. Mean reward: 7.965; population standard deviation: 2.565107210235081. Mean minus standard deviation: 5.399893.
Reproduce
Install gymnasium==0.29.1 and numpy, then run python train_taxi.py.
qtable.npy is the trained policy; choose qtable[state].argmax().
evaluation.json includes every evaluation episode reward.
- Task
- Reinforcement Learning
- License
- mit
- Created
- Sep 10, 2026
- Updated
- Sep 10, 2026