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» On Learning Limiting Programs
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ICML
2008
IEEE
14 years 9 months ago
Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
Finale Doshi, Joelle Pineau, Nicholas Roy
PEPM
1998
ACM
14 years 23 days ago
Inherited Limits
We show the evolution of partial evaluators over the past ten years from a particular perspective: the attempt to remove limits on the structure of residual programs that are inher...
Torben Æ. Mogensen
ICALT
2008
IEEE
14 years 3 months ago
Integrating Medical Robotics in the Robinson Program
The Robinson curriculum contains a novel approach to improve the engineering education, to enhance technological literacy of students from nonengineering fields and to increase in...
Sabina Jeschke, Lars Knipping, Marcus Liebhardt, F...
ALT
2003
Springer
14 years 6 days ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann
AICOM
2006
105views more  AICOM 2006»
13 years 8 months ago
Evolutionary concept learning in First Order Logic: An overview
This paper presents an overview of recent systems for Inductive Logic Programming (ILP). After a short description of the two popular ILP systems FOIL and Progol, we focus on meth...
Federico Divina