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Taxi Q-Learning Agent
This repository contains a Q-table trained on the Taxi-v3 environment using a simple Q-learning algorithm.
Environment
- Taxi-v3 (Gymnasium)
Rewards
- -1 per step
- +20 for a successful drop-off
- -10 for illegal pickup/drop-off actions
How to Use
Load the Q-table using np.load('q_table.npy', allow_pickle=True) and use it to select actions via np.argmax(q_table[state]).
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