DeepStreak:使用人工智能自动驾驶赛车游戏

Aryan Khanna, B. Manoj, Yashashwini T, G. M. Parihar, Richa Maurya, R. B
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引用次数: 0

摘要

随着人工智能的出现,商业视频游戏变得越来越流行。大多数在线或离线电子游戏都是被动的,即它们严格遵循脚本指示。在基于ai的游戏中也存在一些趋势竞赛,它们需要生成自动脚本和自动交互以适应动态场景,提高性能并解决实时面临的挑战。因此,我们有必要开发能够对游戏产业产生重大影响的智能新技术。因此,本文讨论了开发计算机游戏开发者可以使用的新人工智能技术的挑战和研究机会列表,并提出了使用三种不同方法完全自动化视频游戏的技术,包括关键点是数据增强和分割技术,然后将数据馈送给cnn。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DeepStreak: Automating Car Racing Games for Self Driving using Artificial Intelligence
Commercial Video games are becoming popular with the advent of Artificial Intelligence. Most of the online or offline video games are passive i.e. they strictly follow the scripted instructions. And then there are trending competitions in AI-based games that need to generate auto-scripts and auto-interactions to adapt to the dynamic scenario, improve performance and also resolve the challenges which are faced in real-time. Hence there is a need to develop new techniques with intelligence which can have a significant impact on the gaming industry. Thus, this paper discusses the list of challenges and research opportunities available for developing new AI techniques that can be used by computer game developers and proposes techniques to completely automate the video games using three different approaches including key points being data augmentation and segmentation techniques followed by feeding data to CNNs.
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