Learn the deep reinforcement learning skills that are powering amazing advances in AI. Then start applying these to applications like video games and robotics.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Learn cutting-edge deep reinforcement learning algorithms—from Deep Q-Networks (DQN) to Deep Deterministic Policy Gradients (DDPG). Apply these concepts to train agents to walk, drive, or perform other complex tasks, and build a robust portfolio of deep reinforcement learning projects.
Write your own implementations of many cutting-edge algorithms, including DQN, DDPG, and evolutionary methods.
This program requires experience with Python, probability, machine learning, and deep learning.See detailed requirements.
This comprehensive Deep Reinforcement Learning curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
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Everything you need to know about this online course, from duration to certification
Course Instructor
Navigation
Expert instructor with industry experience
Subject Category
Deep Learning, Computer Science
Part of our Deep Learning, Computer Science curriculum
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Comprehensive Program
Professional training from $399
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