This course explains reinforcement learning without math. You can learn the concepts easily and clearly. In addition, you can implement and run an actual tic-tac-toe game by coding RLkit, which is written in Python, the most accessible language.
Basic concepts of reinforcement learning
Markov decision process
Implementing reinforcement learning using Python
How to use RLkit framework
Practice with Tic-Tac-Toe Game
DeepMind's AlphaGo, which played against Lee Sedol, was trained using a machine learning technique called reinforcement learning. Reinforcement learning is considered the best alternative for machine training. This course explains reinforcement learning without mathematics, making the concepts easy and clear to understand. Furthermore, you can implement and run an actual Tic-Tac-Toc game by coding directly with RLkit, written in Python, the most accessible language.
A field of machine learning, it is a method in which an agent defined in an environment recognizes the current state and selects an action or sequence that maximizes reward among the available actions.
Choi Gwang-seong
I've been immersed in programming since graduate school. After graduation, I stayed in the lab and worked on developing semiconductor factory prediction simulation software. My main languages are C++ and CUDA. I served as CTO at a startup called CCG. I developed SIMPLE, an interpreted language for GPUs. https://github.com/cks3443/simple
Who is this course right for?
People interested in artificial intelligence
Beginners who want to learn reinforcement learning
People familiar with Python programming
People who want to learn through practice
People interested in game development
5,102
Learners
120
Reviews
29
Answers
3.8
Rating
9
Courses
All
16 lectures ∙ (58min)
Course Materials:
All
10 reviews
3.7
10 reviews
$42.90
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