project
Taxi Route Optimization with Reinforcement Learning
Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.
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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
- 1Task 1
Technologies
Python
Prerequisites
Reinforcement Learning with Gymnasium in PythonFouad Trad
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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.