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AIIDE
2006
13 years 10 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
AIIDE
2008
13 years 11 months ago
TAP: An Effective Personality Representation for Inter-Agent Adaptation in Games
Tactical Agent Personality (TAP) is a modeling concept to capture tactical patterns in game agents, based on a personality concept introduced by Tan and Cheng (2007), to allow beh...
Chek Tien Tan, Ho-Lun Cheng
ICC
2007
IEEE
217views Communications» more  ICC 2007»
14 years 3 months ago
Decentralized Activation in a ZigBee-enabled Unattended Ground Sensor Network: A Correlated Equilibrium Game Theoretic Analysis
Abstract— We describe a decentralized learning-based activation algorithm for a ZigBee-enabled unattended ground sensor network. Sensor nodes learn to monitor their environment i...
Michael Maskery, Vikram Krishnamurthy
CDC
2009
IEEE
168views Control Systems» more  CDC 2009»
14 years 1 months ago
Distributed coverage games for mobile visual sensors (II) : Reaching the set of global optima
— We formulate a coverage optimization problem for mobile visual sensor networks as a repeated multi-player game. Each visual sensor tries to optimize its own coverage while mini...
Minghui Zhu, Sonia Martínez
FLAIRS
2003
13 years 10 months ago
Emergence of Cooperation in a Multiple Predator, Single Prey Game
This research concerns the comparison of three different artificial evolution approaches for the design of cooperative behavior in a group of simulated mobile robots. The first an...
Geoff Nitschke