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ICAC
2009
IEEE
14 years 8 months ago
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
Ivana Dusparic, Vinny Cahill
ICAS
2006
IEEE
140views Robotics» more  ICAS 2006»
15 years 4 months ago
Control System Framework for Autonomous Robots Based on Extended State Machines
We present a new framework optimized for the design, implementation, and testing of control systems for autonomous robots. It is based on a new visual specification language whic...
Torsten Merz, Piotr Rudol, Mariusz Wzorek
GECCO
2004
Springer
259views Optimization» more  GECCO 2004»
15 years 3 months ago
Evaluation of Different Fitness Functions for the Evolutionary Testing of an Autonomous Parking System
The method of evolutionary functional testing allows for the automation of testing by transforming test case design into an optimization problem. To this end it is necessary to def...
Joachim Wegener, Oliver Bühler
99
Voted
ICAC
2006
IEEE
15 years 4 months ago
Towards Autonomic Grid Data Management with Virtualized Distributed File Systems
Grid data management is a challenging task because of the heterogeneous, dynamic and largescale nature of Grid environments. This paper proposes an autonomic Grid data management ...
Ming Zhao 0002, Jing Xu, Renato J. O. Figueiredo
83
Voted
ICRA
2002
IEEE
96views Robotics» more  ICRA 2002»
15 years 3 months ago
A Suite of Tools for Debugging Distributed Autonomous Systems
This paper describes a set of tools that allows a developer to instrument an autonomous control system to log data at run-time and then analyze that data to verify correct program...
David Kortenkamp, Reid G. Simmons, Tod Milam, Joaq...