Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
A new evolutionary method named “Genetic Network Programming with Control Nodes, GNPcn” has been proposed and applied to determine the timing of buying and selling stocks. GNP...
Etsushi Ohkawa, Yan Chen, Shingo Mabu, Kaoru Shima...
We address the problem of coordinating the plans and schedules for a team of agents in an uncertain and dynamic environment. Bounded rationality, bounded communication, subjectivi...
It is becoming more important to design systems capable of performing high-level management and control tasks in interactive dynamic environments. At the same time, it is difficul...
We present a multi-agent formalism based on extended answer set programming. The system consists of independent agents connected via a communication channel, where knowledge and be...
Davy Van Nieuwenborgh, Marina De Vos, Stijn Heyman...