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JAIR
2008
107views more  JAIR 2008»
15 years 6 months ago
Planning with Durative Actions in Stochastic Domains
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
Mausam, Daniel S. Weld
JISE
2006
85views more  JISE 2006»
15 years 6 months ago
A Programming Methodology for Designing Block Recursive Algorithms
In this paper, we use the tensor product notation as the framework of a programming methodology for designing block recursive algorithms. We first express a computational problem ...
Min-Hsuan Fan, Chua-Huang Huang, Yeh-Ching Chung, ...
JMLR
2006
125views more  JMLR 2006»
15 years 6 months ago
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra
We discuss the problem of learning to rank labels from a real valued feedback associated with each label. We cast the feedback as a preferences graph where the nodes of the graph ...
Shai Shalev-Shwartz, Yoram Singer
CORR
2010
Springer
162views Education» more  CORR 2010»
15 years 3 months ago
Cross-Composition: A New Technique for Kernelization Lower Bounds
We introduce a new technique for proving kernelization lower bounds, called cross-composition. A classical problem L cross-composes into a parameterized problem Q if an instance o...
Hans L. Bodlaender, Bart M. P. Jansen, Stefan Krat...
AIPS
2011
14 years 10 months ago
Effective Heuristics and Belief Tracking for Planning with Incomplete Information
Conformant planning can be formulated as a path-finding problem in belief space where the two main challenges are the heuristics to guide the search, and the representation and u...
Alexandre Albore, Miquel Ramírez, Hector Ge...