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» On the Validity of Hierarchical Decompositions
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AGENTS
2001
Springer
14 years 1 months ago
Hierarchical multi-agent reinforcement learning
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
ICCAD
2009
IEEE
136views Hardware» more  ICCAD 2009»
13 years 6 months ago
A hierarchical floating random walk algorithm for fabric-aware 3D capacitance extraction
With the adoption of ultra regular fabric paradigms for controlling design printability at the 22nm node and beyond, there is an emerging need for a layout-driven, pattern-based p...
Tarek A. El-Moselhy, Ibrahim M. Elfadel, Luca Dani...
TVCG
2012
203views Hardware» more  TVCG 2012»
11 years 11 months ago
Morse Set Classification and Hierarchical Refinement Using Conley Index
—Morse decomposition provides a numerically stable topological representation of vector fields that is crucial for their rigorous interpretation. However, Morse decomposition is ...
Guoning Chen, Qingqing Deng, Andrzej Szymczak, Rob...
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 10 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
BIRTHDAY
2005
Springer
14 years 2 months ago
Planning in Answer Set Programming using Ordered Task Decomposition
abstract. In this paper we investigate a formalism for solving planning problems based on ordered task decomposition using Answer Set Programming (ASP). Our planning methodology is...
Jürgen Dix, Ugur Kuter, Dana S. Nau