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ATAL
2010
Springer
14 years 9 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
CSCLP
2005
Springer
14 years 11 months ago
Analysis of Heuristic Synergies
“Heuristic synergy” refers to improvements in search performance when the decisions made by two or more heuristics are combined. This paper considers combinations based on prod...
Richard J. Wallace
FLAIRS
2007
14 years 12 months ago
Combining Machine Learning with Linguistic Heuristics for Chinese Word Segmentation
This paper describes a hybrid model that combines machine learning with linguistic heuristics for integrating unknown word identification with Chinese word segmentation. The model...
Xiaofei Lu
AIPS
2008
14 years 12 months ago
Learning Relational Decision Trees for Guiding Heuristic Planning
The current evaluation functions for heuristic planning are expensive to compute. In numerous domains these functions give good guidance on the solution, so it worths the computat...
Tomás de la Rosa, Sergio Jiménez, Da...
AAAI
2004
14 years 11 months ago
Space-Efficient Memory-Based Heuristics
A memory-based heuristic is a heuristic function that is stored in a lookup table. Very accurate heuristics have been created by building very large lookup tables, sometimes calle...
Rong Zhou, Eric A. Hansen