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ICAC
2009
IEEE
15 years 4 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
JMLR
2010
141views more  JMLR 2010»
15 years 1 months ago
FastInf: An Efficient Approximate Inference Library
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...
TNN
2010
130views Management» more  TNN 2010»
15 years 1 months ago
Large developing receptive fields using a distributed and locally reprogrammable address-event receiver
A distributed and locally reprogrammable address event receiver has been designed, in which incoming addressevents are monitored simultaneously by all synapses, allowing for arbitr...
Simeon A. Bamford, Alan F. Murray, David J. Willsh...
AIED
2011
Springer
14 years 10 months ago
SMART: Speech-enabled Mobile Assisted Reading Technology for Word Comprehension
In this study, we designed and developed two educational games on mobile phones with support for speech-recognition to examine and train the cognitive underpinnings of word reading...
Anuj Kumar, Pooja Reddy, Matthew Kam
AAAI
2011
14 years 6 months ago
Differential Eligibility Vectors for Advantage Updating and Gradient Methods
In this paper we propose differential eligibility vectors (DEV) for temporal-difference (TD) learning, a new class of eligibility vectors designed to bring out the contribution of...
Francisco S. Melo