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» An Ordered Logic Program Solver
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84
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ICML
2008
IEEE
16 years 1 months ago
Apprenticeship learning using linear programming
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Umar Syed, Michael H. Bowling, Robert E. Schapire
112
Voted
AAAI
1998
15 years 2 months ago
Learning Investment Functions for Controlling the Utility of Control Knowledge
The utility problem occurs when the cost of the acquired knowledge outweighs its bene ts. When the learner acquires control knowledge for speeding up a problem solver, the bene t ...
Oleg Ledeniov, Shaul Markovitch
122
Voted
CAV
2009
Springer
163views Hardware» more  CAV 2009»
16 years 1 months ago
Complete Instantiation for Quantified Formulas in Satisfiabiliby Modulo Theories
Quantifier reasoning in Satisfiability Modulo Theories (SMT) is a long-standing challenge. The practical method employed in modern SMT solvers is to instantiate quantified formulas...
Leonardo Mendonça de Moura, Yeting Ge
ACMICEC
2005
ACM
151views ECommerce» more  ACMICEC 2005»
15 years 6 months ago
Product knowledge reasoning: a DL-based approach
In order to capture the full fledge semantic of complicated product data model, the expressive language ALCNHR+ K(D) is introduced. It cannot only be able to represent knowledge a...
Nizamuddin Channa, Shanping Li, Xiangjun Fu
115
Voted
LISP
2007
124views more  LISP 2007»
15 years 15 days ago
A new generic scheme for functional logic programming with constraints
In this paper we propose a new generic scheme CFLP(D ), intended as a logical and semantic framework for lazy Constraint Functional Logic Programming over a parametrically given co...
Francisco Javier López-Fraguas, Mario Rodr&...