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» Learning Relational Grammars from Sequences of Actions
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ECEASST
2006
103views more  ECEASST 2006»
14 years 9 months ago
Petri Nets and Matrix Graph Grammars: Reachability
This paper contributes in two directions. First, several concepts of our matrix approach to graph transformation [1,2] such as coherence and minimal initial digraph are applied to ...
Juan de Lara, Pedro Pablo Pérez Velasco
JAIR
2008
148views more  JAIR 2008»
14 years 9 months ago
Learning Partially Observable Deterministic Action Models
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
Eyal Amir, Allen Chang
ECCV
2004
Springer
15 years 11 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
AAMAS
2005
Springer
14 years 9 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
86
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AFPAC
1997
Springer
132views Mathematics» more  AFPAC 1997»
15 years 1 months ago
Perception and Action Using Multilinear Forms
In this paper it is shown how multilinear forms can be used in the perception-action cycle. Firstly, these forms can be used to reconstruct an unknown (or partially known) scene fr...
Anders Heyden, Gunnar Sparr, Kalle Åströ...