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» A New Way to Introduce Knowledge into Reinforcement Learning
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JIRS
2000
144views more  JIRS 2000»
14 years 11 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
FLAIRS
2004
15 years 1 months ago
The Power of Experience: On the Usefulness of Validation Knowledge
TURING Test technologies are promising ways to validate AI systems which may have no alternative way to indicate validity. Human experts (validators) are often too expensive to in...
Rainer Knauf, Setsuo Tsuruta, Kenichi Uehara, Taka...
ACL
2006
15 years 1 months ago
Combining Statistical and Knowledge-Based Spoken Language Understanding in Conditional Models
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
Ye-Yi Wang, Alex Acero, Milind Mahajan, John Lee
CSCW
2008
ACM
14 years 12 months ago
Unpacking Tasks: The Fusion of New Technology with Instructional Work
This paper discusses how a new technology (designed to help pupils with learning about Shakespeare's Macbeth) is introduced and integrated into existing classroom practices. I...
Christian Greiffenhagen
JIISIC
2001
15 years 1 months ago
Knowledge Component of a Multiagent Distributed Decision Support System
We have developed a distributed DSS capable to working in a dynamic way. That is, when a domain of an organization needs a new kind of information, the system looks for this infor...
Georgina Stegmayer, María Laura Caliusco, O...