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» Learning to Improve both Efficiency and Quality of Planning
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ROBOCUP
2007
Springer
99views Robotics» more  ROBOCUP 2007»
14 years 2 months ago
Instance-Based Action Models for Fast Action Planning
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
Mazda Ahmadi, Peter Stone
WMTE
2008
IEEE
14 years 3 months ago
Context-Aware Writing in Ubiquitous Learning Environments
With the popularization of the wireless network, and the progress of mobile computing technology, the efficiency of the hand-held device is better, and its applications are wider....
Tzung-Shi Chen, Cheng-Sian Chang, Jeng-Shian Lin, ...
QOSA
2010
Springer
13 years 6 months ago
A Hybrid Approach for Multi-attribute QoS Optimisation in Component Based Software Systems
Design decisions for complex, component-based systems impact multiple quality of service (QoS) properties. Often, means to improve one quality property deteriorate another one. In ...
Anne Martens, Danilo Ardagna, Heiko Koziolek, Raff...
JAIR
2010
167views more  JAIR 2010»
13 years 7 months ago
The LAMA Planner: Guiding Cost-Based Anytime Planning with Landmarks
LAMA is a classical planning system based on heuristic forward search. Its core feature is the use of a pseudo-heuristic derived from landmarks, propositional formulas that must b...
Silvia Richter, Matthias Westphal
ECCV
2006
Springer
14 years 10 months ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...