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» Learning Symbolic Models of Stochastic Domains
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ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
15 years 2 months ago
Session Overview Planning
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Nicholas Roy, Roland Siegwart
78
Voted
UAI
2008
14 years 11 months ago
Toward Experiential Utility Elicitation for Interface Customization
User preferences for automated assistance often vary widely, depending on the situation, and quality or presentation of help. Developing effective models to learn individual prefe...
Bowen Hui, Craig Boutilier
TEC
2008
139views more  TEC 2008»
14 years 9 months ago
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
Andras Sobester, Prasanth B. Nair, Andy J. Keane
ECAI
2008
Springer
14 years 10 months ago
A hybrid approach to multi-agent decision-making
Abstract. In the aftermath of a large-scale disaster, agents’ decisions derive from self-interested (e.g. survival), common-good (e.g. victims’ rescue) and teamwork (e.g. fire...
Paulo Trigo, Helder Coelho
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
15 years 3 months ago
Boosting Relational Sequence Alignments
The task of aligning sequences arises in many applications. Classical dynamic programming approaches require the explicit state enumeration in the reward model. This is often impr...
Andreas Karwath, Kristian Kersting, Niels Landwehr