projeto
Taxi Route Optimization with Reinforcement Learning
Intermediário
Updated 06/2024Iniciar Projeto Gratuitamente
Incluído comPremium or Teams
1 Task1,500 XP739
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Tentar 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
Pré-requisitos
Reinforcement Learning with Gymnasium in PythonFouad Trad
Ver MaisMachine Learning Engineer