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» Learning Partially Observable Deterministic Action Models
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ICMLA
2004
13 years 9 months ago
Planning with predictive state representations
Predictive state representation (PSR) models for controlled dynamical systems have recently been proposed as an alternative to traditional models such as partially observable Mark...
Michael R. James, Satinder P. Singh, Michael L. Li...
FLAIRS
2006
13 years 9 months ago
Managing Student Emotions in Intelligent Tutoring Systems
1 In the classic educational context, observing and identifying learner's emotional response allow the teacher to adapt the lesson, with the aim of improving the quality of th...
Roger Nkambou
AAAI
2008
13 years 10 months ago
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...
RAS
2000
161views more  RAS 2000»
13 years 7 months ago
Active object recognition by view integration and reinforcement learning
A mobile agent with the task to classify its sensor pattern has to cope with ambiguous information. Active recognition of three-dimensional objects involves the observer in a sear...
Lucas Paletta, Axel Pinz
CVPR
2010
IEEE
14 years 3 months ago
Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
Bangpeng Yao, Li Fei-Fei