Lewati ke konten utama
BerandaPython

Proyek

Taxi Route Optimization with Reinforcement Learning

MenengahTingkat Keterampilan
Diperbarui 03/2025
Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.
Mulai Proyek

Termasuk denganPremium or Team

PythonMachine LearningArtificial Intelligence1 Hr1 Tasks1,500 XP2,747

Buat Akun Gratis Anda

atau

Dengan melanjutkan, Anda menyetujui Ketentuan Penggunaan, Kebijakan Privasi kami serta bahwa data Anda disimpan di Amerika Serikat.
Group

Pelatihan untuk 2 orang atau lebih?

Coba DataCamp for Business

Dicintai oleh para pelajar di ribuan perusahaan

Deskripsi Proyek

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.
Mulai Proyek
  • 1

    Task 1

Bergabunglah 18 juta pelajar dan mulai Taxi Route Optimization with Reinforcement Learning Hari Ini!

Buat Akun Gratis Anda

atau

Dengan melanjutkan, Anda menyetujui Ketentuan Penggunaan, Kebijakan Privasi kami serta bahwa data Anda disimpan di Amerika Serikat.