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» Learning the required number of agents for complex tasks
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IROS
2008
IEEE
191views Robotics» more  IROS 2008»
14 years 2 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters
IANDC
2006
102views more  IANDC 2006»
13 years 7 months ago
Polynomial certificates for propositional classes
This paper studies the complexity of learning classes of expressions in propositional logic from equivalence queries and membership queries. In particular, we focus on bounding th...
Marta Arias, Aaron Feigelson, Roni Khardon, Rocco ...
SIGGRAPH
1994
ACM
13 years 12 months ago
Hierarchical spacetime control
Specifying the motion of an animated linked figure such that it achieves given tasks (e.g., throwing a ball into a basket) and performs the tasks in a realistic fashion (e.g., gra...
Zicheng Liu, Steven J. Gortler, Michael F. Cohen
AAAI
2010
13 years 9 months ago
Coalition Structure Generation based on Distributed Constraint Optimization
Forming effective coalitions is a major research challenge in AI and multi-agent systems (MAS). Coalition Structure Generation (CSG) involves partitioning a set of agents into coa...
Suguru Ueda, Atsushi Iwasaki, Makoto Yokoo, Marius...
MOMPES
2006
IEEE
14 years 1 months ago
Model-Driven Development of Real-Time Systems with UML 2.0 and C
In this era of intense liking to automation in almost all time-critical fields, real-time systems have got widespread utilization in industrial, commercial, medical, space and mil...
Mohammad Ullah Khan, Kurt Geihs, Felix Gutbrodt, P...