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Taxi Route Optimization with Reinforcement Learning

Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.

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1 Tasks1,500 XP

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Project Description

Navigate the bustling streets of a virtual city as a taxi driver in this engaging reinforcement learning project. Utilize Q-learning to optimize your routes, ensuring passengers are efficiently picked up and dropped off. Train a reinforcement learning (RL) agent to solve the Taxi-v3 Gymnasium environment, ensuring optimal AI-driven transportation!

Project Tasks

  1. 1
    Task 1


Python Python


Machine LearningArtificial Intelligence
Fouad Trad HeadshotFouad Trad

Machine Learning Engineer

Fouad is an experienced ML engineer, researcher, and educator, currently pursuing a Ph.D. in applied ML, with a focus on cybersecurity applications. His talent lies in simplifying complex data science concepts, making them accessible to everyone.
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