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ABIALS
2008
Springer
14 years 11 months ago
Multiscale Anticipatory Behavior by Hierarchical Reinforcement Learning
Abstract. In order to establish autonomous behavior for technical systems, the well known trade-off between reactive control and deliberative planning has to be considered. Within ...
Matthias Rungger, Hao Ding, Olaf Stursberg
83
Voted
CEC
2008
IEEE
14 years 11 months ago
Towards the evolution of an artificial homeostatic system
Abstract-- This paper presents an artificial homeostatic system (AHS) devoted to the autonomous navigation of mobile robots, with emphasis on neuro-endocrine interactions. The AHS ...
Renan C. Moioli, Patrícia Amâncio Var...
AAAI
2006
14 years 11 months ago
Boosting Expert Ensembles for Rapid Concept Recall
Many learning tasks in adversarial domains tend to be highly dependent on the opponent. Predefined strategies optimized for play against a specific opponent are not likely to succ...
Achim Rettinger, Martin Zinkevich, Michael H. Bowl...
AAAI
2006
14 years 11 months ago
Real-Time Evolution of Neural Networks in the NERO Video Game
A major goal for AI is to allow users to interact with agents that learn in real time, making new kinds of interactive simulations, training applications, and digital entertainmen...
Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, ...
AAAI
1997
14 years 10 months ago
Attitude and Position Control Using Real-Time Color Tracking
A variety of sensors and positioning methods have been developed over the years. Most methods rely on active sensors (such as sonars or lasers) which have range and power restrict...
David P. Miller, Anne Wright, Randy Sargent, Rob C...