Deep Q-Learning Mastery in the “Taxi” World Course – Udemy, Jun 2024

Course Description:

The Deep Q-Learning Mastery in the “Taxi” World Course on Udemy covers implementing Deep Q-Learning algorithms using Python and PyTorch from scratch. This course focuses on solving ‘Taxi’, an OpenAI Gym problem requiring a taxi to deliver passengers to their destination accurately. Students learn reinforcement learning and its real-world applications through practical and theoretical learning.

An introduction to reinforcement learning is given, with foundation knowledge and an explanation of its essential concepts. Using a strong conceptual framework, students explore the theoretical aspects of deep Q learning, such as Q value, policy learning, and value iteration. This phase introduces a body of work: hands-on guidance in the going from theory to Python coding things like Deep Q Networks (DQNs) so that learners can see how the theory turns into code.

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