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» Modeling Complex Domains of Actions and Change
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KCAP
2009
ACM
15 years 6 months ago
Interactively shaping agents via human reinforcement: the TAMER framework
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
W. Bradley Knox, Peter Stone
ECOOP
2009
Springer
16 years 12 days ago
COPE - Automating Coupled Evolution of Metamodels and Models
Model-based development promises to increase productivity by offering modeling languages tailored to a specific domain. Such modeling languages are typically defined by a metamodel...
Elmar Jürgens, Markus Herrmannsdoerfer, Sebas...
ICML
2009
IEEE
16 years 17 days ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint
JUCS
2008
112views more  JUCS 2008»
14 years 11 months ago
Knowledge Processing in Intelligent Systems
Abstract: Intelligence and Knowledge play more and more important roles in building complex intelligent systems, for instance, intrusion detection systems, and operational analysis...
Longbing Cao, Ngoc Thanh Nguyen
ICLP
2010
Springer
15 years 3 months ago
Abductive Inference in Probabilistic Logic Programs
ABSTRACT. Action-probabilistic logic programs (ap-programs) are a class of probabilistic logic programs that have been extensively used during the last few years for modeling behav...
Gerardo I. Simari, V. S. Subrahmanian