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» Learning Simulation Control in General Game-Playing Agents
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ATAL
2005
Springer
15 years 3 months ago
Automatic computer game balancing: a reinforcement learning approach
Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...
CDC
2008
IEEE
113views Control Systems» more  CDC 2008»
15 years 4 months ago
Norm optimal Cross-Coupled Iterative Learning Control
— In this paper, we focus on improving contour tracking in precision motion control (PMC) applications through the use of Cross-Coupled Iterative Learning Control (CCILC). Initia...
Kira Barton, Jeroen van de Wijdeven, Andrew Alleyn...
ATAL
2003
Springer
15 years 2 months ago
An evolutionary framework for studying behaviors of economic agents
We propose an evolutionary framework for studying agents that interact in electronic marketplaces. We describe how this framework could be used to study the dynamics of interactio...
Wolfgang Ketter, Alexander Babanov, Maria L. Gini
ATAL
2010
Springer
14 years 10 months ago
UAV swarm coordination using cooperative control for establishing a wireless communications backbone
In this paper, we present a mechanism to fly a swarm of UAVs with the aim of establishing a wireless backbone over a pre-specified area. The backbone is aimed at connecting interm...
Achudhan Sivakumar, Colin Keng-Yan Tan
ATAL
2008
Springer
14 years 11 months ago
Regulating air traffic flow with coupled agents
The ability to provide flexible, automated management of air traffic is critical to meeting the ever increasing needs of the next generation air transportation systems. This probl...
Adrian K. Agogino, Kagan Tumer