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» Representing the Knowledge of a Robot
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ATAL
2010
Springer
15 years 8 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
IANDC
2008
92views more  IANDC 2008»
15 years 7 months ago
Tree exploration with advice
We study the amount of knowledge about the network that is required in order to efficiently solve a task concerning this network. The impact of available information on the effici...
Pierre Fraigniaud, David Ilcinkas, Andrzej Pelc
JIRS
2000
144views more  JIRS 2000»
15 years 6 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
AAAI
2012
13 years 9 months ago
Transportability of Causal Effects: Completeness Results
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...
Elias Bareinboim, Judea Pearl
FGR
2006
IEEE
121views Biometrics» more  FGR 2006»
15 years 10 months ago
Optimal Hand Gesture Vocabulary Design Using Psycho-Physiological and Technical Factors
A global approach to hand gesture vocabulary design is proposed which includes human as well as technical design factors. The human centered desires of multiple users are implicit...
Helman Stern, Juan P. Wachs, Yael Edan