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» Using Learning in a Control Agent
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JACIII
2006
97views more  JACIII 2006»
13 years 8 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
ATAL
2008
Springer
13 years 10 months ago
Pan-supplier stock control in a virtual warehouse
We describe the commercial application of agents to the handling of catalogue and stock-control for the selling of books on the internet. The primary characteristic of the target ...
Emad El-Deen El-Akehal, Julian A. Padget
GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
14 years 1 months ago
Robotic Control Using Hierarchical Genetic Programming
In this paper, we compare the performance of hierarchical GP methods (Automatically Defined Functions, Module Acquisition, Adaptive Representation through Learning) with the canon...
Marcin L. Pilat, Franz Oppacher
IROS
2006
IEEE
190views Robotics» more  IROS 2006»
14 years 2 months ago
Q-RAN: A Constructive Reinforcement Learning Approach for Robot Behavior Learning
Abstract— This paper presents a learning system that uses Qlearning with a resource allocating network (RAN) for behavior learning in mobile robotics. The RAN is used as a functi...
Jun Li, Achim J. Lilienthal, Tomás Mart&iac...
ATAL
2009
Springer
14 years 2 months ago
Solving multiagent assignment Markov decision processes
We consider the setting of multiple collaborative agents trying to complete a set of tasks as assigned by a centralized controller. We propose a scalable method called“Assignmen...
Scott Proper, Prasad Tadepalli