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MVA
2007
15 years 5 months ago
Semi-supervised Incremental Learning of Manipulative Tasks
For a social robot, the ability of learning tasks via human demonstration is very crucial. But most current approaches suffer from either the demanding of the huge amount of label...
Zhe Li, Sven Wachsmuth, Jannik Fritsch, Gerhard Sa...
CRIWG
2004
15 years 5 months ago
A Tailorable Collaborative Learning System That Combines OGSA Grid Services and IMS-LD Scripting
This paper presents Gridcole, a new collaborative learning system that can be easily tailored by educators in order to support their own CSCL scenarios, using computing services pr...
Miguel L. Bote-Lorenzo, Luis M. Vaquero-Gonz&aacut...
FLAIRS
2003
15 years 5 months ago
Learning from Reinforcement and Advice Using Composite Reward Functions
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Vinay N. Papudesi, Manfred Huber
AIIDE
2009
15 years 5 months ago
Learning Character Behaviors Using Agent Modeling in Games
Our goal is to provide learning mechanisms to game agents so they are capable of adapting to new behaviors based on the actions of other agents. We introduce a new on-line reinfor...
Richard Zhao, Duane Szafron
KBS
2006
105views more  KBS 2006»
15 years 4 months ago
Robot docking based on omnidirectional vision and reinforcement learning
We present a system for visual robotic docking using an omnidirectional camera coupled with the actor critic reinforcement learning algorithm. The system enables a PeopleBot robot...
David Muse, Cornelius Weber, Stefan Wermter