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AUTOMATICA
2002
73views more  AUTOMATICA 2002»
13 years 7 months ago
Iterative learning control with initial rectifying action
This paper addresses the initial shift problem in iterative learning control with system relative degree. The tracking error caused by nonzero initial shift is detected when apply...
Mingxuan Sun, Danwei Wang
IJBIS
2010
123views more  IJBIS 2010»
13 years 4 months ago
Designing information systems requirements in context: insights from the theory of deferred action
This paper considers conceptual and contextual issues relating to the problem of developing systems models capable of representing knowable and unknowable information requirements...
Nandish V. Patel, Ray Hackney
ICML
2004
IEEE
14 years 8 months ago
Bellman goes relational
Motivated by the interest in relational reinforcement learning, we introduce a novel relational Bellman update operator called ReBel. It employs a constraint logic programming lan...
Kristian Kersting, Martijn Van Otterlo, Luc De Rae...
AAMAS
2002
Springer
13 years 7 months ago
Relational Reinforcement Learning for Agents in Worlds with Objects
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Saso Dzeroski
ECIS
2001
13 years 9 months ago
Barriers to effective knowledge management: Action Research Meets Grounded Theory
Despite evidence that the majority of knowledge management (KM) initiatives miscarry, there has been a paucity of critical, in-depth research into the causes of failure. In this p...
David Graham Wastell