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AIIDE
2006
13 years 10 months ago
Goal-Directed Hierarchical Dynamic Scripting for RTS Games
Learning how to defeat human players is a challenging task in today's commercial computer games. This paper suggests a goal-directed hierarchical dynamic scripting approach f...
Anders Dahlbom, Lars Niklasson
SOFSEM
2010
Springer
14 years 5 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour
CSEE
2008
Springer
13 years 10 months ago
An Evaluation of a Mobile Game Concept for Lectures
This paper describes an evaluation of a new game concept, Lecture Quiz, which can be used in lectures in higher education to promote strong student participation and variation in ...
Alf Inge Wang, Terje Øfsdahl, Ole Kristian ...
ATAL
2010
Springer
13 years 10 months ago
Planning against fictitious players in repeated normal form games
Planning how to interact against bounded memory and unbounded memory learning opponents needs different treatment. Thus far, however, work in this area has shown how to design pla...
Enrique Munoz de Cote, Nicholas R. Jennings
ECML
2004
Springer
14 years 2 months ago
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Pieter Jan't Hoen, Karl Tuyls