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» Using Machine Learning to Focus Iterative Optimization
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140
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ICML
2009
IEEE
16 years 3 months ago
Trajectory prediction: learning to map situations to robot trajectories
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
Nikolay Jetchev, Marc Toussaint
113
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ICFEM
2004
Springer
15 years 8 months ago
Learning to Verify Safety Properties
We present a novel approach for verifying safety properties of finite state machines communicating over unbounded FIFO channels that is based on applying machine learning techniqu...
Abhay Vardhan, Koushik Sen, Mahesh Viswanathan, Gu...
162
Voted
SIGKDD
2010
183views more  SIGKDD 2010»
14 years 9 months ago
Inactive learning?: difficulties employing active learning in practice
Despite the tremendous level of adoption of machine learning techniques in real-world settings, and the large volume of research on active learning, active learning techniques hav...
Josh Attenberg, Foster J. Provost
115
Voted
CONCUR
2010
Springer
15 years 3 months ago
Learning I/O Automata
Links are established between three widely used modeling frameworks for reactive systems: the ioco theory of Tretmans, the interface automata of De Alfaro and Henzinger, and Mealy ...
Fides Aarts, Frits W. Vaandrager
ICML
2005
IEEE
16 years 3 months ago
Recycling data for multi-agent learning
Learning agents can improve performance cooperating with other agents, particularly learning agents forming a committee outperform individual agents. This "ensemble effect&qu...
Santiago Ontañón, Enric Plaza