English

TotalBotWar: A New Pseudo Real-time Multi-action Game Challenge and Competition for AI

Artificial Intelligence 2020-09-21 v1

Abstract

This paper presents TotalBotWar, a new pseudo real-time multi-action challenge for game AI, as well as some initial experiments that benchmark the framework with different agents. The game is based on the real-time battles of the popular TotalWar games series where players manage an army to defeat the opponent's one. In the proposed game, a turn consists of a set of orders to control the units. The number and specific orders that can be performed in a turn vary during the progression of the game. One interesting feature of the game is that if a particular unit does not receive an order in a turn, it will continue performing the action specified in a previous turn. The turn-wise branching factor becomes overwhelming for traditional algorithms and the partial observability of the game state makes the proposed game an interesting platform to test modern AI algorithms.

Keywords

Cite

@article{arxiv.2009.08696,
  title  = {TotalBotWar: A New Pseudo Real-time Multi-action Game Challenge and Competition for AI},
  author = {Alejandro Estaben and César Díaz and Raul Montoliu and Diego Pérez-Liebana},
  journal= {arXiv preprint arXiv:2009.08696},
  year   = {2020}
}

Comments

6 pages, 5 figures