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TSMC
2008
229views more  TSMC 2008»
13 years 7 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
SIAMJO
2008
93views more  SIAMJO 2008»
13 years 7 months ago
Multivariable Utility Functions
Abstract. Utility functions of several variables are ubiquitous in economics. Their maximization requires inversion of the gradient map. Using convex analysis tools, we provide a r...
Maria B. Chiarolla, Ulrich G. Haussmann
ATAL
2006
Springer
13 years 11 months ago
On the complexity of practical ATL model checking
We investigate the computational complexity of reasoning about multi-agent systems using the cooperation logic ATL of Alur, Henzinger, and Kupferman. It is known that satisfiabili...
Wiebe van der Hoek, Alessio Lomuscio, Michael Wool...
RAS
2000
119views more  RAS 2000»
13 years 7 months ago
Benchmarking cerebellar control
Cerebellar models have long been advocated as viable models for robot dynamics control. Building on an increasing insight in and knowledge of the biological cerebellum, many model...
P. Patrick van der Smagt
WIOPT
2006
IEEE
14 years 1 months ago
Scheduling sensor activity for point information coverage in wireless sensor networks
Abstract— An important application of wireless sensor networks is to perform the monitoring missions, for example, to monitor some targets of interests at all times. Sensors are ...
Bang Wang, Kee Chaing Chua, Vikram Srinivasan, Wei...