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NCI
2004
185views Neural Networks» more  NCI 2004»
13 years 11 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber
PARMA
2004
114views Database» more  PARMA 2004»
13 years 11 months ago
PatManQL: A Language to Manipulate Patterns and Data in Hierarchical Catalogs
Hierarchical structures and catalogs is a way to organize and enrich semantically the available information in the Web. From simple tree-like structures with syntactic constraints ...
Panagiotis Bouros, Theodore Dalamagas, Timos K. Se...
COMGEO
2004
ACM
13 years 10 months ago
How to draw the minimum cuts of a planar graph
We show how to utilize the cactus representation of all minimum cuts of a graph to visualize the minimum cuts of a planar graph in a planar drawing. In a first approach the cactus...
Ulrik Brandes, Sabine Cornelsen, Christian Fie&szl...
ICPR
2004
IEEE
14 years 11 months ago
A Vision-Based Vehicle Identification System
This paper presents a vision-based vehicle identification system which consists of object extraction, object tracking, occlusion detection and segmentation, and vehicle classifica...
Chung-Lin Huang, Wen-Chieh Liao
OSDI
2004
ACM
14 years 10 months ago
Chain Replication for Supporting High Throughput and Availability
Chain replication is a new approach to coordinating clusters of fail-stop storage servers. The approach is intended for supporting large-scale storage services that exhibit high t...
Robbert van Renesse, Fred B. Schneider