Build your first game using Reinforcement Learning

3,842.00

Material Includes

  • Video Lessons
  • Python Codes
  • Handout Notes
  • Self Assessment

What I will learn?

  • Master game creation using Reinforcement Learning for AI-driven systems.
  • Apply Deep Q-networks with PyTorch for game intelligence development.
  • Use open-source tools, mastering hands-on reinforcement learning frameworks.
  • Explore latest advancements in reinforcement learning across varied applications.

Course Curriculum

Video Lesson: Building Game with Reinforcement Learning

  • Video Tutorial: Introduction to Reinforcement Learning
    01:43:38
  • Video Tutorial: Deep Reinforcement Learning
    01:09:38
  • Video Tutorial: Toolkits for RL and DRL
    01:10:08
  • Video Tutorial: Policy-Based methods
    01:24:43

Hands-on Implementations

Handout Notes

Self Assessment

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