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» Modelling Learning in an Educational Game
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CORR
2011
Springer
194views Education» more  CORR 2011»
14 years 7 months ago
Accelerating Reinforcement Learning through Implicit Imitation
Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent’s ability to learn useful behaviors by making intelligent use of the kn...
Craig Boutilier, Bob Price
RSKT
2009
Springer
15 years 10 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
ECAI
2010
Springer
15 years 5 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
101
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CORR
2006
Springer
105views Education» more  CORR 2006»
15 years 4 months ago
Using Users' Expectations to Adapt Business Intelligence Systems
: This paper takes a look at the general characteristics of business or economic intelligence system. The role of the user within this type of system is emphasized. We propose two ...
Babajide Afolabi, Odile Thiery
CORR
2007
Springer
132views Education» more  CORR 2007»
15 years 3 months ago
Spreadsheet Engineering: A Research Framework
Spreadsheet engineering adapts the lessons of software engineering to spreadsheets, providing eight principles as a framework for organizing spreadsheet programming recommendation...
Thomas A. Grossman