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GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
14 years 2 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
IEAAIE
2009
Springer
14 years 4 months ago
Measuring Naturalness during Close Encounters Using Physiological Signal Processing
Many researchers in the HRI and ECA domains try to build robots and agents that exhibit human-like behavior in real-world close encounter situations. One major requirement for comp...
Yasser F. O. Mohammad, Toyoaki Nishida
ATAL
2006
Springer
14 years 1 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
AAAI
2011
12 years 10 months ago
A Switching Planner for Combined Task and Observation Planning
From an automated planning perspective the problem of practical mobile robot control in realistic environments poses many important and contrary challenges. On the one hand, the p...
Moritz Göbelbecker, Charles Gretton, Richard ...
AAAI
2000
13 years 11 months ago
Human-Guided Simple Search
Scheduling, routing, and layout tasks are examples of hard operations-research problems that have broad application in industry. Typical algorithms for these problems combine some...
David Anderson, Emily Anderson, Neal Lesh, Joe Mar...