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ECIS
2001
15 years 5 months ago
Operationalising Guidelines for Inter-Organisational Systems Planning: Exploring a Learning Model
This paper addresses the issue of operationalising guidelines for IOS planning. The authors explore the usefulness of Triple Loop Learning in light of the IOS development experien...
Pat Finnegan, Robert D. Galliers, Philip Powell
CI
2002
92views more  CI 2002»
15 years 4 months ago
Model Selection in an Information Economy: Choosing What to Learn
As online markets for the exchange of goods and services become more common, the study of markets composed at least in part of autonomous agents has taken on increasing importance...
Christopher H. Brooks, Robert S. Gazzale, Rajarshi...
123
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NECO
2002
105views more  NECO 2002»
15 years 3 months ago
Multiple Model-Based Reinforcement Learning
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...
Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, ...
ICWL
2009
Springer
15 years 10 months ago
Social Reference Model for Adaptive Web Learning
In this paper, we describe the design steps of extending LAOS, a five-layer framework for generic adaptive web learning authoring, by adding a social layer to capture (and adapt) i...
Fawaz Ghali, Alexandra I. Cristea
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
15 years 10 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone