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JMLR
2010
123views more  JMLR 2010»
14 years 10 months ago
Inductive Principles for Restricted Boltzmann Machine Learning
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
Benjamin Marlin, Kevin Swersky, Bo Chen, Nando de ...
SASO
2008
IEEE
15 years 10 months ago
Leveraging Organizational Guidance Policies with Learning to Self-Tune Multiagent Systems
As organization-based multiagent systems are applied to more complex problems, configuring and tuning the systems can become nearly as complex as the original problem a system wa...
Scott J. Harmon, Scott A. DeLoach, Robby, Doina Ca...
JAIR
2002
99views more  JAIR 2002»
15 years 3 months ago
Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System
Designing the dialogue policy of a spoken dialogue system involves many nontrivial choices. This paper presents a reinforcement learning approach for automatically optimizing a di...
Satinder P. Singh, Diane J. Litman, Michael J. Kea...
WEBNET
2000
15 years 5 months ago
Using Multi-user Distributed Virtual Environments in Education
: On-line learning is one of the emerging needs of the information age. Access to education is going to become crucial for the success of our information society. Therefore a lot o...
Christos Bouras, Alexandros Philopoulos, Thrasyvou...
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HCI
2007
15 years 5 months ago
Suppressing Competition in a Computer-Supported Collaborative Learning System
The purpose of this study is to explore how student competition using the tit-for-tat strategy could be remedied with a minimum design change in order to support student to collabo...
Kwangsu Cho, Bosung Kim