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» Learning to Improve both Efficiency and Quality of Planning
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UAI
2004
13 years 10 months ago
Solving Factored MDPs with Continuous and Discrete Variables
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
HRI
2007
ACM
14 years 23 days ago
Learning by demonstration with critique from a human teacher
Learning by demonstration can be a powerful and natural tool for developing robot control policies. That is, instead of tedious hand-coding, a robot may learn a control policy by ...
Brenna Argall, Brett Browning, Manuela M. Veloso
EVOW
2009
Springer
14 years 3 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
DASFAA
2004
IEEE
110views Database» more  DASFAA 2004»
14 years 19 days ago
Optimising Mediator Queries to Distributed Engineering Systems
Data and computations of a CAD system have been wrapped by a mediator system using CORBA's IIOP Protocol. This allows ad hoc declarative mediator queries to be translated into...
Mattias Nyström, Tore Risch
CVPR
2010
IEEE
14 years 5 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth