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ATAL
2010
Springer
13 years 10 months ago
Deception in networks of mobile sensing agents
Recent studies have investigated how a team of mobile sensors can cope with real world constraints, such as uncertainty in the reward functions, dynamically appearing and disappea...
Viliam Lisý, Roie Zivan, Katia P. Sycara, M...
ILP
2000
Springer
14 years 11 days ago
Using ILP to Improve Planning in Hierarchical Reinforcement Learning
Hierarchical reinforcement learning has been proposed as a solution to the problem of scaling up reinforcement learning. The RLTOPs Hierarchical Reinforcement Learning System is an...
Mark D. Reid, Malcolm R. K. Ryan
CRV
2005
IEEE
208views Robotics» more  CRV 2005»
14 years 2 months ago
Topology Inference for a Vision-Based Sensor Network
In this paper we describe a technique to infer the topology and connectivity information of a network of cameras based on observed motion in the environment. While the technique c...
Dimitri Marinakis, Gregory Dudek
FSR
2003
Springer
251views Robotics» more  FSR 2003»
14 years 2 months ago
Distributed Search and Rescue with Robot and Sensor Teams
We develop a network of distributed mobile sensor systems as a solution to the emergency response problem. The mobile sensors are inside a building and they form a connected ad-ho...
George Kantor, Sanjiv Singh, Ronald A. Peterson, D...
ICC
2009
IEEE
161views Communications» more  ICC 2009»
13 years 6 months ago
Energy-Efficient Itinerary Planning for Mobile Agents in Wireless Sensor Networks
Compared to conventional wireless sensor networks (WSNs) that are operated based on the client-server computing model, mobile agent (MA) systems provide new capabilities for energy...
Min Chen, Victor C. M. Leung, Shiwen Mao, Taekyoun...