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ICML
2010
IEEE
15 years 8 months ago
Internal Rewards Mitigate Agent Boundedness
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
Jonathan Sorg, Satinder P. Singh, Richard Lewis
IJCM
2008
93views more  IJCM 2008»
15 years 6 months ago
A reinforced learning control using iterative error compensation for uncertain dynamical systems
This paper investigates a learning control using iterative error compensation for uncertain systems to enhance the precision of high speed, computer controlled machining process. ...
Kuei-Shu Hsu, Wen-Shyong Yu, Ming-In Ho
ACMDIS
2006
ACM
16 years 24 days ago
"It's Just a Method!": a pedagogical experiment in interdisciplinary design
In the excitement of the cognitive revolution, Simon proposed a way of thinking about design that promised to make it more manageable and cognitive: to think of design as a planni...
Steve R. Harrison, Maribeth Back, Deborah G. Tatar
CHI
1997
ACM
15 years 11 months ago
The Cognitive Ergonomics of Knowledge-Based Design Support Systems
Critiquing systems are a type of active, knowledge-based design support system. They propose to positively influence designers’ cognitive processes by pointing out potential pro...
Tamara Sumner, Nathalie Bonnardel, Benedikte Harst...
CVPR
2005
IEEE
16 years 8 months ago
Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
Kuang-Chih Lee, David J. Kriegman