intermediateCertificateFree
Intro to Game AI and Reinforcement Learning
by Alexis Cook · Kaggle
4.4(3,500 reviews)
100K+ enrolled3 hoursUpdated 2024-03
What You'll Learn
Understand the fundamentals and key concepts of reinforcement learning
Apply reinforcement learning techniques to solve real-world problems
Understand the fundamentals and key concepts of game AI
Apply game AI techniques to solve real-world problems
Understand the fundamentals and key concepts of deep RL
Apply deep RL techniques to solve real-world problems
About This Course
Build game-playing agents using minimax, reinforcement learning, and deep Q-networks through interactive Kaggle environments.
Curriculum
Module 1: Reinforcement learning3 lessons
- Introduction to reinforcement learning
- Reinforcement learning in Practice
- Hands-on Exercise: Reinforcement learning
Module 2: Game AI3 lessons
- Introduction to game AI
- Game AI in Practice
- Hands-on Exercise: Game AI
Module 3: Deep RL3 lessons
- Introduction to deep RL
- Deep RL in Practice
- Hands-on Exercise: Deep RL
Module 4: Q-learning3 lessons
- Introduction to Q-learning
- Q-learning in Practice
- Hands-on Exercise: Q-learning
Instructor
Alexis Cook
Instructor at Kaggle
Pros & Cons
Pros
- Completely free to access
- Offers a certificate of completion
- Hands-on interactive exercises
- Taught by Alexis Cook
Cons
- Self-paced requires discipline
Free
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