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ICRA
2008
IEEE
119views Robotics» more  ICRA 2008»
15 years 11 months ago
Towards schema-based, constructivist robot learning: Validating an evolutionary search algorithm for schema chunking
— In this paper, we lay the groundwork for extending our previously developed ASyMTRe architecture to enable constructivist learning for multi-robot team tasks. The ASyMTRe archi...
Yifan Tang, Lynne E. Parker
IWANN
1999
Springer
15 years 8 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
LREC
2010
213views Education» more  LREC 2010»
15 years 5 months ago
Active Learning and Crowd-Sourcing for Machine Translation
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Succe...
Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
16 years 4 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
ISCA
2006
IEEE
138views Hardware» more  ISCA 2006»
15 years 10 months ago
Learning-Based SMT Processor Resource Distribution via Hill-Climbing
The key to high performance in Simultaneous Multithreaded (SMT) processors lies in optimizing the distribution of shared resources to active threads. Existing resource distributio...
Seungryul Choi, Donald Yeung