"Press Space to Fire": Automatic Video Game Tutorial Generation

05/30/2018
by   Michael Cerny Green, et al.
0

We propose the problem of tutorial generation for games, i.e. to generate tutorials which can teach players to play games, as an AI problem. This problem can be approached in several ways, including generating natural language descriptions of game rules, generating instructive game levels, and generating demonstrations of how to play a game using agents that play in a human-like manner. We further argue that the General Video Game AI framework provides a useful testbed for addressing this problem.

READ FULL TEXT

page 2

page 3

research
07/11/2018

AtDelfi: Automatically Designing Legible, Full Instructions For Games

This paper introduces a fully automatic method for generating video game...
research
06/23/2016

The VGLC: The Video Game Level Corpus

Levels are a key component of many different video games, and a large bo...
research
06/12/2019

General Video Game Rule Generation

We introduce the General Video Game Rule Generation problem, and the epo...
research
09/18/2023

Mechanic Maker 2.0: Reinforcement Learning for Evaluating Generated Rules

Automated game design (AGD), the study of automatically generating game ...
research
07/23/2018

Towards a Programmable Framework for Agent Game Playing

The field of Game Theory provides a useful mechanism for modeling many d...
research
04/02/2020

Benchmarking End-to-End Behavioural Cloning on Video Games

Behavioural cloning, where a computer is taught to perform a task based ...
research
08/11/2022

Cine-AI: Generating Video Game Cutscenes in the Style of Human Directors

Cutscenes form an integral part of many video games, but their creation ...

Please sign up or login with your details

Forgot password? Click here to reset