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» Using Stochastic Grammars to Learn Robotic Tasks
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GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 8 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
ICRA
2009
IEEE
167views Robotics» more  ICRA 2009»
15 years 11 months ago
The curious robot - Structuring interactive robot learning
— If robots are to succeed in novel tasks, they must be able to learn from humans. To improve such humanrobot interaction, a system is presented that provides dialog structure an...
Ingo Lütkebohle, Julia Peltason, Lars Schilli...
CEC
2003
IEEE
15 years 9 months ago
Real-time adaptation technique to real robots: an experiment with a humanoid robot
We introduce a technique that allows a real robot to execute real-time learning, in which GP and RL are integrated. In our former research, we showed the result of an experiment wi...
Shotaro Kamio, Hitoshi Iba
NIPS
2008
15 years 5 months ago
Bayesian Synchronous Grammar Induction
We present a novel method for inducing synchronous context free grammars (SCFGs) from a corpus of parallel string pairs. SCFGs can model equivalence between strings in terms of su...
Phil Blunsom, Trevor Cohn, Miles Osborne
EMNLP
2010
15 years 2 months ago
Title Generation with Quasi-Synchronous Grammar
The task of selecting information and rendering it appropriately appears in multiple contexts in summarization. In this paper we present a model that simultaneously optimizes sele...
Kristian Woodsend, Yansong Feng, Mirella Lapata