Proceedings ArticleDOI
Botzone: an online multi-agent competitive platform for AI education
Haoyu Zhou,Haifeng Zhang,Yushan Zhou,Xinchao Wang,Wenxin Li +4 more
- pp 33-38
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Botzone is a universal online multi-agent game AI platform designed to evaluate different implementations of game AI by applying them to agents in a variety of games and compete with each other, featuring an ELO ranking system and a contest system for users to evaluate their AI programs.Abstract:
This paper presents Botzone, a competitive platform for game AI education and research. It aims to simplify the teaching process of game AI courses, inspire learners to self-study, and acting as a dataset for game AI research. This platform is a universal online multi-agent game AI platform, designed to evaluate different implementations of game AI by applying them to agents in a variety of games and compete with each other, featuring an ELO ranking system and a contest system for users to evaluate their AI programs. It has been successfully used in various AI competitions and courses in practice, and has the extensibility to support more games and languages, as well as further usages such as studying machine learning on game AI. In this paper, we firstly describe the structure and features of Botzone, then focus on our experience in utilizing Botzone for a programming course.read more
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Book
Reinforcement Learning: An Introduction
TL;DR: This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning, which ranges from the history of the field's intellectual foundations to the most recent developments and applications.
Journal ArticleDOI
Equilibrium points in n-person games
TL;DR: A concept of an n -person game in which each player has a finite set of pure strategies and in which a definite set of payments to the n players corresponds to each n -tuple ofpure strategies, one strategy being taken for each player.
Book
Introduction to Reinforcement Learning
TL;DR: In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning.
Journal ArticleDOI
Digital Game-Based Learning in high school Computer Science education: Impact on educational effectiveness and student motivation
TL;DR: The results suggest that within high school CS, educational computer games can be exploited as effective and motivational learning environments, regardless of students' gender.
Book ChapterDOI
Efficient selectivity and backup operators in Monte-Carlo tree search
TL;DR: A new framework to combine tree search with Monte-Carlo evaluation, that does not separate between a min-max phase and a Monte- carlo phase is presented, that provides finegrained control of the tree growth, at the level of individual simulations, and allows efficient selectivity.