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AIIDE
2006
15 years 8 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
AAMAS
2008
Springer
15 years 6 months ago
A capabilities-based model for adaptive organizations
Multiagent systems have become popular over the last few years for building complex, adaptive systems in a distributed, heterogeneous setting. Multiagent systems tend to be more r...
Scott A. DeLoach, Walamitien H. Oyenan, Eric T. Ma...
IJRR
2008
186views more  IJRR 2008»
15 years 6 months ago
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Paulina Varshavskaya, Leslie Pack Kaelbling, Danie...
TIP
2008
98views more  TIP 2008»
15 years 6 months ago
Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation
The challenge of image interpolation is to preserve spatial details. We propose a soft-decision interpolation technique that estimates missing pixels in groups rather than one at a...
Xiangjun Zhang, Xiaolin Wu
JIIS
2002
109views more  JIIS 2002»
15 years 6 months ago
PVA: A Self-Adaptive Personal View Agent
In this paper, we present PVA, an adaptive personal view information agent system for tracking, learning and managing user interests in Internet documents. PVA consists of three pa...
Chien Chin Chen, Meng Chang Chen, Yeali S. Sun