Sciweavers

239 search results - page 3 / 48
» Adaptive learning in evolving task allocation networks
Sort
View
110
Voted
NPL
2000
105views more  NPL 2000»
15 years 3 months ago
Online Interactive Neuro-evolution
In standard neuro-evolution, a population of networks is evolved in a task, and the network that best solves the task is found. This network is then fixed and used to solve future...
Adrian K. Agogino, Kenneth O. Stanley, Risto Miikk...
100
Voted
ATAL
2007
Springer
15 years 9 months ago
Dynamic task allocation within an open service-oriented MAS architecture
A MAS architecture consisting of service centers is proposed. Within each service center, a mediator coordinates service delivery by allocating individual tasks to corresponding t...
Ivan Jureta, Stéphane Faulkner, Youssef Ach...
117
Voted
ICES
2003
Springer
125views Hardware» more  ICES 2003»
15 years 8 months ago
Evolving Reinforcement Learning-Like Abilities for Robots
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
Jesper Blynel
DATE
2008
IEEE
100views Hardware» more  DATE 2008»
15 years 10 months ago
User-Aware Dynamic Task Allocation in Networks-on-Chip
In this paper, we propose a run-time strategy for allocating the application tasks to platform resources in homogeneous Networks-on-Chip (NoCs). As novel contribution, we incorpor...
Chen-Ling Chou, Radu Marculescu
132
Voted
EVOW
2003
Springer
15 years 8 months ago
Exploring the T-Maze: Evolving Learning-Like Robot Behaviors Using CTRNNs
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
Jesper Blynel, Dario Floreano