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» Learning about and through Empirical Modelling
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ILP
2004
Springer
14 years 1 months ago
Modelling Inhibition in Metabolic Pathways Through Abduction and Induction
Abstract. In this paper, we study how a logical form of scientific modelling that integrates together abduction and induction can be used to understand the functional class of unk...
Alireza Tamaddoni-Nezhad, Antonis C. Kakas, Stephe...
CORR
2011
Springer
194views Education» more  CORR 2011»
13 years 5 days 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
CORR
2010
Springer
80views Education» more  CORR 2010»
13 years 8 months ago
Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
Frederic Thouin, Mark Coates, Michael Rabbat
ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 2 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
ICANN
2003
Springer
14 years 1 months ago
Dimensionality Reduction through Sensory-Motor Coordination
The problem of category learning has been traditionally investigated by employing disembodied categorization models. One of the basic tenets of embodied cognitive science states th...
I. René J. A. te Boekhorst, Max Lungarella,...