학술논문
Experiment in Using Reinforcement Learning in Gaming: The Breakout Game Learning
이용수 6
- 영문명
- 발행기관
- 한국컴퓨터게임학회
- 저자명
- Taresh Dewan Aloukik Aditya Manva Trivedi Ao Chen Danning Jiang Sabah Mohammed
- 간행물 정보
- 『한국컴퓨터게임학회논문지』제34권 2호, 37~48쪽, 전체 12쪽
- 주제분류
- 공학 > 컴퓨터학
- 파일형태
- 발행일자
- 2021.06.30
4,240원
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국문 초록
영문 초록
In this study, we investigated whether a tool such as a game toy can be used as an augmented reality tool, and a system model that can be extended to a game element using wireless communication technology such as Bluetooth and a controllable module. This is an online ship type game using augmented reality technology and wireless communication technology. In addition, the existing game element was extended by applying a smartphone app control module. The existing game method uses the method of playing the game with only limited functions in the same space. This study expands to augmented reality-based games by implementing contents in a way that matches game objects with the grafting of augmented reality technology, and uses various items that emerge as the limit of reality. Therefore, we standardized the size of game objects so that they can be used three-dimension in all spaces on the screen according to the space arrangement such as overlapping prevention, distance, and height, and augmented reality technology was used to allow the game to be played by manipulation of a smartphone. In addition, we propose a system framework-based model that can be applied to various games, and a framework that can implement various augmented reality environments. The augmented reality-based battle game proposed in this study combines a knowledge-based augmented reality system that can be extended to game elements by modularizing the function of a toy through+ a context-aware agent based on context information and an intelligent DB based on domain knowledge.
목차
1. Introduction
2. Defining the Problem
3. Related Research
4. The Proposed Methodology
5. Conclusions
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