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TNN
2008
138views more  TNN 2008»
14 years 9 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
JFR
2007
94views more  JFR 2007»
14 years 9 months ago
Vision-aided inertial navigation for pin-point landing using observations of mapped landmarks
In this paper we describe an Extended Kalman Filter (EKF) algorithm for estimating the pose and velocity of a spacecraft during Entry, Descent and Landing (EDL). The proposed esti...
Nikolas Trawny, Anastasios I. Mourikis, Stergios I...
TVCG
2008
138views more  TVCG 2008»
14 years 9 months ago
Real-Time Path Planning in Dynamic Virtual Environments Using Multiagent Navigation Graphs
We present a novel approach for efficient path planning and navigation of multiple virtual agents in complex dynamic scenes. We introduce a new data structure, Multiagent Navigatio...
Avneesh Sud, Erik Andersen, Sean Curtis, Ming C. L...
CGF
1999
79views more  CGF 1999»
14 years 9 months ago
A Practical Analysis of Clustering Strategies for Hierarchical Radiosity
The calculation of radiant energy balance in complex scenes has been made possible by hierarchical radiosity methods based on clustering mechanisms. Although clustering offers an ...
Jean-Marc Hasenfratz, Cyrille Damez, Franço...
JMLR
2002
125views more  JMLR 2002»
14 years 9 months ago
Lyapunov Design for Safe Reinforcement Learning
Lyapunov design methods are used widely in control engineering to design controllers that achieve qualitative objectives, such as stabilizing a system or maintaining a system'...
Theodore J. Perkins, Andrew G. Barto