project
Taxi Route Optimization with Reinforcement Learning
Intermediate
Updated 06/2024Start Project for Free
Included withPremium or Teams
1 Task1,500 XP739
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.Training 2 or more people?
Try DataCamp for BusinessProject 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
- 1Task 1
Technologies
Python
Prerequisites
Reinforcement Learning with Gymnasium in PythonFouad Trad
See MoreMachine 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.