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» Learning the task allocation game
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AIIDE
2006
14 years 10 months ago
Designing a Reinforcement Learning-based Adaptive AI for Large-Scale Strategy Games
This paper investigates the challenges posed by the application of reinforcement learning to large-scale strategy games. In this context, we present steps and techniques which syn...
Charles A. G. Madeira, Vincent Corruble, Geber Ram...
FDG
2009
ACM
14 years 7 months ago
Toward a domain-independent framework to automate scaffolding of task-based learning in digital games
This poster describes a framework that automatically generates learning support scaffolds to guide task-based learning. The aim is to combine the exploratory learning principles p...
James M. Thomas, R. Michael Young
IROS
2007
IEEE
92views Robotics» more  IROS 2007»
15 years 3 months ago
Learning-enhanced market-based task allocation for oversubscribed domains
Abstract— This paper presents a learning-enhanced marketbased task allocation approach for oversubscribed domains. In oversubscribed domains all tasks cannot be completed within ...
Edward Gil Jones, M. Bernardine Dias, Anthony Sten...
CIG
2005
IEEE
15 years 3 months ago
Case-Injection Improves Response Time for a Real-Time Strategy Game
We present a case-injected genetic algorithm player for Strike Ops, a real-time strategy game. Such strategy games are fundamentally resource allocation optimization problems and o...
Chris Miles, Sushil J. Louis
IJCAI
2007
14 years 11 months ago
An Information-Theoretic Analysis of Memory Bounds in a Distributed Resource Allocation Mechanism
Multiagent distributed resource allocation requires that agents act on limited, localized information with minimum communication overhead in order to optimize the distribution of ...
Ricardo M. Araujo, Luís C. Lamb