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Taxi Route Optimization with Reinforcement Learning

IntermediateSkill Level
4.8+
141 reviews
Updated 03/2025
Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.
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PythonMachine LearningArtificial Intelligence1 hr1 Task1,500 XP2,105

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Project Description

Taxi Route Optimization with Reinforcement Learning

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!

Taxi Route Optimization with Reinforcement Learning

Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.
Start Project
  • 1

    Task 1

Don’t just take our word for it

*4.8
from 141 reviews
87%
13%
0%
0%
0%
  • Johannes
    2 days

  • Darrell
    4 days

    An excellent application of the lessons learned, emphasizing the practical use of RL in optimizing routing paths.

  • Melih
    7 days

  • MIRANDA PAOLA
    7 days

  • SOPHY
    8 days

  • Sebastian
    9 days

Johannes

"An excellent application of the lessons learned, emphasizing the practical use of RL in optimizing routing paths."

Darrell

Melih

    Join over 18 million learners and start Taxi Route Optimization with Reinforcement Learning today!

    Create Your Free Account

    or

    By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.