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» Toward Scenario Adaptation for Learning
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AIED
2005
Springer
14 years 2 months ago
Inferring learning and attitudes from a Bayesian Network of log file data
A student's goals and attitudes while interacting with a tutor are typically unseen and unknowable. However their outward behavior (e.g. problem-solving time, mistakes and hel...
Ivon Arroyo, Beverly Park Woolf
AAAI
2007
13 years 10 months ago
RETALIATE: Learning Winning Policies in First-Person Shooter Games
In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team firstperson shooter games. RETALIATE has three crucial chara...
Megan Smith, Stephen Lee-Urban, Hector Muño...
AIPS
2006
13 years 9 months ago
Lessons Learned in Applying Domain-Independent Planning to High-Speed Manufacturing
Much has been made of the need for academic planning research to orient towards real-world applications. In this paper, we relate our experience in adapting domain-independent pla...
Minh Binh Do, Wheeler Ruml
CVPR
2011
IEEE
13 years 3 months ago
What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
Brian Kulis, Kate Saenko, Trevor Darrell
CORR
2006
Springer
175views Education» more  CORR 2006»
13 years 8 months ago
Adaptive Channel Allocation Spectrum Etiquette for Cognitive Radio Networks
Abstract-- In this work, we propose a game theoretic framework to analyze the behavior of cognitive radios for distributed adaptive channel allocation. We define two different obje...
Nie Nie, Cristina Comaniciu