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» The Computational Complexity of Agent Design Problems
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ATAL
2008
Springer
13 years 11 months ago
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
Thomas Gabel, Martin A. Riedmiller
SPAA
2010
ACM
14 years 1 months ago
Parallel approximation algorithms for facility-location problems
This paper presents the design and analysis of parallel approximation algorithms for facility-location problems, including NC and RNC algorithms for (metric) facility location, k-...
Guy E. Blelloch, Kanat Tangwongsan
CEC
2005
IEEE
13 years 10 months ago
Co-evolutionary modular neural networks for automatic problem decomposition
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
MM
2004
ACM
94views Multimedia» more  MM 2004»
14 years 2 months ago
Towards automated story analysis using participatory design
Involving a school teacher in the development of the intelligent writing tutor StoryStation allowed progress to be made on the problem of story classification, an aspect of story...
Harry Halpin, Johanna D. Moore, Judy Robertson
ARC
2007
Springer
140views Hardware» more  ARC 2007»
14 years 26 days ago
Reconfigurable Computing for Accelerating Protein Folding Simulations
Abstract. This paper presents a methodology for the design of a reconfigurable computing system applied to a complex problem in molecular Biology: the protein folding problem. An e...
Nilton B. Armstrong, Heitor S. Lopes, Carlos R. Er...