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AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
CACM
1998
103views more  CACM 1998»
13 years 7 months ago
The Virtual Design Team
The long range goal of the “Virtual Design Team” (VDT) research program is to develop computational tools to analyze decision making and communication behavior and thereby to ...
John C. Kunz, Tore R. Christiansen, Geoff P. Cohen...
CN
1999
242views more  CN 1999»
13 years 7 months ago
Focused Crawling: A New Approach to Topic-Specific Web Resource Discovery
The rapid growth of the World-Wide Web poses unprecedented scaling challenges for general-purpose crawlers and search engines. In this paper we describe a new hypertext resource d...
Soumen Chakrabarti, Martin van den Berg, Byron Dom
ISSRE
2010
IEEE
13 years 6 months ago
Is Data Privacy Always Good for Software Testing?
—Database-centric applications (DCAs) are common in enterprise computing, and they use nontrivial databases. Testing of DCAs is increasingly outsourced to test centers in order t...
Mark Grechanik, Christoph Csallner, Chen Fu, Qing ...
SLOGICA
2011
13 years 2 months ago
Logics for Qualitative Inductive Generalization
The paper contains a survey of (mainly unpublished) adaptive logics of inductive generalization. These defeasible logics are precise formulations of certain methods. Some attentio...
Diderik Batens