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» Compositional Models for Reinforcement Learning
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AI
2006
Springer
13 years 11 months ago
Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
Julien Laumonier, Brahim Chaib-draa
EPIA
1995
Springer
13 years 11 months ago
Using Stochastic Grammars to Learn Robotic Tasks
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
Pedro U. Lima, George N. Saridis
PAMI
2010
324views more  PAMI 2010»
13 years 6 months ago
A Compositional and Dynamic Model for Face Aging
—In this paper we present a compositional and dynamic model for face aging. The compositional model represents faces in each age group by a hierarchical And-Or graph, in which An...
Jin-Li Suo, Song Chun Zhu, Shiguang Shan, Xilin Ch...
NIPS
2008
13 years 9 months ago
Structure Learning in Human Sequential Decision-Making
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
Daniel Acuña, Paul R. Schrater
IADIS
2003
13 years 9 months ago
Educational Component Model for Adaptive Web-Based Courses
The primary business problem that a Learning Content Management System faces is to create just enough content, just in time, meeting the needs of different types of learners. A po...
Freddy Duitama, Bruno Defude, Amel Bouzeghoub, Cla...