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» Scaling Up: Solving POMDPs through Value Based Clustering
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AAAI
2007
13 years 7 months ago
Scaling Up: Solving POMDPs through Value Based Clustering
Partially Observable Markov Decision Processes (POMDPs) provide an appropriately rich model for agents operating under partial knowledge of the environment. Since finding an opti...
Yan Virin, Guy Shani, Solomon Eyal Shimony, Ronen ...
ATAL
2009
Springer
13 years 11 months ago
Point-based incremental pruning heuristic for solving finite-horizon DEC-POMDPs
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...
Jilles Steeve Dibangoye, Abdel-Illah Mouaddib, Bra...
BIBE
2003
IEEE
133views Bioinformatics» more  BIBE 2003»
13 years 10 months ago
A Computational Pipeline for Protein Structure Prediction and Analysis at Genome Scale
The tertiary (3D) structure of a protein contains the essential information for understanding the biological function of the protein at the molecular and cellular levels. Traditio...
Manesh J. Shah, Sergei Passovets, Dongsup Kim, Kyl...