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» Guiding Agent Learning in Design
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ATAL
2010
Springer
13 years 9 months ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone
HCI
2007
13 years 9 months ago
Designing for Participation in Socio-technical Software Systems
Participative software systems are a new class of software systems whose development does not end at the deployment but requires continued user participation and contribution. They...
Yunwen Ye, Gerhard Fischer
ACL
2011
12 years 11 months ago
Learning to Win by Reading Manuals in a Monte-Carlo Framework
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
S. R. K. Branavan, David Silver, Regina Barzilay
AUSAI
2003
Springer
14 years 1 months ago
Learning Action Selection Network of Intelligent Agent
Behavior-based artificial intelligent system is to derive the complicated behaviors by selecting appropriate one from a set of basic behaviors. Many robot systems have used behavi...
Eun-Kyung Yun, Sung-Bae Cho
RIA
2006
56views more  RIA 2006»
13 years 7 months ago
Le paradigme MAUI pour des agents multimodaux d'interface homme-machine socialement intelligents
In this article, we expose our research program in bio-affective-social computing aimed at guiding and participating to the development of multimodal socially intelligent agents in...
Christine L. Lisetti