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ICMLA
2009
13 years 6 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
MABS
2007
Springer
14 years 3 months ago
Trust-Based Inter-temporal Decision Making: Emergence of Altruism in a Simulated Society
This paper contributes to the analysis of the question how altruistic behaviour can be in an agent’s own interest. The question is addressed by involving a temporal dimension in ...
Tibor Bosse, Martijn C. Schut, Jan Treur, David We...
JMLR
2010
159views more  JMLR 2010»
13 years 3 months ago
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Nikolai Slavov
CORR
2011
Springer
202views Education» more  CORR 2011»
13 years 3 months ago
Network Estimation and Packet Delivery Prediction for Control over Wireless Mesh Networks
: Much of the current theory of networked control systems uses simple point-to-point communiodels as an abstraction of the underlying network. As a result, the controller has very ...
Phoebus Chen, Chithrupa Ramesh, Karl Henrik Johans...
AI
2000
Springer
13 years 8 months ago
Credal networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Evidence suggests that credal ...
Fabio Gagliardi Cozman