Artificial Intelligence in Adversarial Real-Time Games
Papers from the 2012 AIIDE Workshop
Michael Buro Chair
AAAI Technical Report WS-12-15
published by The AAAI Press, Palo Alto, California
This technical report is also available in book and CD format.
Contents
Organizers
Michael Buro
Preface
Michael Buro
Incorporating Search Algorithms into RTS Game Agents
David Churchill, Michael Buro
CLASSQ-L: A Q-Learning Algorithm for Adversarial Real-Time Strategy Games
Ulit Jaidee, Hector Munoz-Avila
Adversarial Policy Switching with Application to RTS Games
Brian King, Alan Fern, Jesse Hostetler
Adversarial Planning for Multi-Agent Pursuit-Evasion Games in Partially Observable Euclidean Space
Eric Raboin, Ugur Kuter, Dana Nau, S. K. Gupta
A Dataset for StarCraft AI and an Example of Armies Clustering
Gabriel Synnaeve, Pierre Bessière
Kiting in RTS Games Using Influence Maps
Alberto Uriarte, Santiago Ontañón
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