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ICANN
2007
Springer
15 years 9 months ago
Solving Deep Memory POMDPs with Recurrent Policy Gradients
Abstract. This paper presents Recurrent Policy Gradients, a modelfree reinforcement learning (RL) method creating limited-memory stochastic policies for partially observable Markov...
Daan Wierstra, Alexander Förster, Jan Peters,...
141
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IWANN
1997
Springer
15 years 7 months ago
Dynamic Path Planning with Spiking Neural Networks
: The path planning problem is relevant for all applications in which a mobil robot should autonomously navigate. Finding the shortest path in an environment that is only partialy ...
Ulrich Roth, Marc Walker, Arne Hilmann, Heinrich K...
140
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ACSC
2008
IEEE
15 years 5 months ago
An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Angel Kennedy, Cara MacNish
169
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OL
2011
277views Neural Networks» more  OL 2011»
14 years 10 months ago
An exact algorithm for minimum CDS with shortest path constraint in wireless networks
In this paper, we study a minimum Connected Dominating Set problem (CDS) in wireless networks, which selects a minimum CDS with property that all intermediate nodes inside every pa...
Ling Ding, Xiaofeng Gao, Weili Wu, Wonjun Lee, Xu ...
140
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PVLDB
2010
146views more  PVLDB 2010»
15 years 2 months ago
Graph Indexing of Road Networks for Shortest Path Queries with Label Restrictions
The current widespread use of location-based services and GPS technologies has revived interest in very fast and scalable shortest path queries. We introduce a new shortest path q...
Michael Rice, Vassilis J. Tsotras