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PRICAI
2000
Springer
15 years 10 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
EAAI
2007
135views more  EAAI 2007»
15 years 6 months ago
Automatic generation of explanations: AGE
Explaining how engineering devices work is important to students, engineers, and operators. In general, machine generated explanations have been produced from a particular perspec...
Silvia B. González-Brambila, Eduardo F. Mor...
VLSID
2007
IEEE
231views VLSI» more  VLSID 2007»
16 years 6 months ago
AHIR: A Hardware Intermediate Representation for Hardware Generation from High-level Programs
We present AHIR, an intermediate representation (IR), that acts as a transition layer between software compilation and hardware synthesis. Such a transition layer is intended to t...
Sameer D. Sahasrabuddhe, Hakim Raja, Kavi Arya, Ma...
GLOBECOM
2008
IEEE
16 years 25 days ago
MILSA: A Mobility and Multihoming Supporting Identifier Locator Split Architecture for Naming in the Next Generation Internet
— Naming and addressing are important issues for Next Generation Internet (NGI). In this paper, we discuss a new Mobility and Multihoming supporting Identifier Locator Split Arch...
Jianli Pan, Subharthi Paul, Raj Jain, Mic Bowman
IJCNN
2007
IEEE
16 years 20 days ago
Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation
Abstract— Cognitive control - the ability to produce appropriate behavior in complex situations - is a fundamental aspect of intelligence. It is increasingly evident that this co...
Simona Doboli, Ali A. Minai, Vincent R. Brown