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» An Efficient Framework for Order Optimization
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IANDC
2006
101views more  IANDC 2006»
15 years 4 months ago
Mind change efficient learning
This paper studies efficient learning with respect to mind changes. Our starting point is the idea that a learner that is efficient with respect to mind changes minimizes mind cha...
Wei Luo, Oliver Schulte
ICML
2010
IEEE
15 years 5 months ago
Inverse Optimal Control with Linearly-Solvable MDPs
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
Dvijotham Krishnamurthy, Emanuel Todorov
AIPS
2007
15 years 6 months ago
Managing Personal Tasks with Time Constraints and Preferences
This paper treats the problem of managing personal tasks, through an adaptation of the Squeaky Wheel Optimization (SWO) framework, enhanced with powerful heuristics and full const...
Ioannis Refanidis
WAOA
2004
Springer
107views Algorithms» more  WAOA 2004»
15 years 9 months ago
Order-Preserving Transformations and Greedy-Like Algorithms
Borodin, Nielsen and Rackoff [5] proposed a framework for ing the main properties of greedy-like algorithms with emphasis on scheduling problems, and Davis and Impagliazzo [6] ext...
Spyros Angelopoulos
GECCO
2003
Springer
156views Optimization» more  GECCO 2003»
15 years 9 months ago
Facts and Fallacies in Using Genetic Algorithms for Learning Clauses in First-Order Logic
Over the last few years, a few approaches have been proposed aiming to combine genetic and evolutionary computation (GECCO) with inductive logic programming (ILP). The underlying r...
Flaviu Adrian Marginean