35 search results - page 5 / 7 » Learning in a Fixed or Evolving Network of Agents |
JSAC
2010
13 years 6 months ago
2010
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
IPSN
2010
Springer
14 years 2 months ago
2010
Springer
Wireless Sensor Actuator Networks (WSANs) extend wireless sensor networks through actuation capability. Designing robust logic for WSANs however is challenging since nodes can aï¬...
ECAL
2007
Springer
14 years 1 months ago
2007
Springer
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
ESANN
2008
13 years 9 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
For any embodied, mobile, autonomous agent it is essential to control its actuators appropriately for the faced task. This holds for natural organisms as well as for robots. If sev...