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IJCAI
2007
15 years 8 months ago
Bayesian Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Deepak Ramachandran, Eyal Amir
AIPS
1994
15 years 8 months ago
Solving Time-critical Decision-making Problems with Predictable Computational Demands
In this work we present an approach to solving time-critical decision-making problems by taking advantage of domain structure to expand the amountof time available for processing ...
Thomas Dean, Lloyd Greenwald
CORR
2010
Springer
67views Education» more  CORR 2010»
15 years 6 months ago
Using ATL to define advanced and flexible constraint model transformations
Abstract. Transforming constraint models is an important task in recent constraint programming systems. User-understandable models are defined during the modeling phase but rewriti...
Raphaël Chenouard, Laurent Granvilliers, Rica...
IJCSA
2006
111views more  IJCSA 2006»
15 years 6 months ago
Using DocBook and XML Technologies to Create Adaptive Learning Content in Technical Domains
This work presents an XML-based authoring methodology that facilitates the different tasks associated with the development of standards-compliant e-learning content development. T...
Iván Martínez-Ortiz, Pablo Moreno-Ge...
PPL
2008
106views more  PPL 2008»
15 years 6 months ago
On Implementing the Farm Skeleton
Algorithmic skeletons intend to simplify parallel programming by providing a higher abstraction compared to the usual message passing. Task and data parallel skeletons can be dist...
Michael Poldner, Herbert Kuchen