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Taxi Route Optimization with Reinforcement Learning

IntermediateSkill Level
4.8+
167 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 XP2,311

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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 167 reviews
87%
13%
0%
0%
0%
  • noureen
    about 12 hours

  • Moutaz
    3 days

  • Emna
    3 days

  • Frank
    4 days

  • Sue
    4 days

  • Thanaphon
    5 days

Moutaz

Emna

Frank

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