Park Yoo-sung: Reinforcement learning using Stable Baselines

The book is written to facilitate the workings of reinforcement learning with toynet and has been designed to calculate each equation with a specific number of 78P and MBman and then re-explain it in statistical mathematical notation so that you can understand what the expression means. The total of 15 reinforcement learning methods available so far. The book adds 10 more reinforcements to 25 more methodal learning methods. The article, which contained the support of the study, has been based on a statement that reflects faithfully the pros and cons and principles of reinforcement learning but has not yet been published as a theoretical proof that requires a significant level of mathematical background. A good coding reader has provided a detailed algorithm that can be programmed directly to understand the principles and structure of reinforcement learning. The details of the use of the Stables were as detailed as possible and the results of the output were written in faithfulness. Some of the reinforcement learnings that Stavelines has not provided have provided with comments and programs that have provided addresses that you can use to make the program thirteen. Strengthening learning has a theoretical hierarchy. Since all reinforcement learning algorithms are essentially based on the equations of the MTB and the course of the MBA, recently developed reinforcement learning is an improved form of reinforcement learning in the past. For reference, the last part of the headline contained a report on the learning field. The book naturally provided a sequence of the books, which allowed us to understand the story and set up separate execution algorithms in the appendix.

Korean title: Stable Baselines를 이용한 강화학습

Korean author: 박유성

Korean publisher: 자유아카데미

ISBN-13: 9791158083137