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ACL
2009
13 years 6 months ago
Learning a Compositional Semantic Parser using an Existing Syntactic Parser
We present a new approach to learning a semantic parser (a system that maps natural language sentences into logical form). Unlike previous methods, it exploits an existing syntact...
Ruifang Ge, Raymond J. Mooney
JAIR
2002
163views more  JAIR 2002»
13 years 8 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
ECAL
2005
Springer
14 years 1 months ago
(Co)Evolution of (De)Centralized Neural Control for a Gravitationally Driven Machine
Using decentralized control structures for robot control can offer a lot of advantages, such as less complexity, better fault tolerance and more flexibility. In this paper the ev...
Steffen Wischmann, Martin Hülse, Frank Pasema...
CDC
2009
IEEE
116views Control Systems» more  CDC 2009»
14 years 1 months ago
Translation control of a fleet circular formation of AUVs under finite communication range
— This work proposes a control algorithm to stabilize a circular formation of AUVs tracking a time-varying center. We also consider the problem of uniform distribution of all the...
Lara B. Arranz, Alexandre Seuret, Carlos Canudas d...
CIG
2005
IEEE
14 years 1 months ago
A Hybrid AI System for Agent Adaptation in a First Person Shooter
The aim of developing an agent that is able to adapt its actions in response to their effectiveness within the game provides the basis for the research presented in this paper. It ...
Abdennour El Rhalibi, Michael Burkey