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...
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...
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
—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 ...
The paper contains a survey of (mainly unpublished) adaptive logics of inductive generalization. These defeasible logics are precise formulations of certain methods. Some attentio...