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FLAIRS
1998
13 years 11 months ago
Optimizing Production Manufacturing Using Reinforcement Learning
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
Sridhar Mahadevan, Georgios Theocharous
ECAL
1999
Springer
14 years 2 months ago
Collective Learning and Semiotic Dynamics
We report on a case study in the emergence of a lexicon in a group of autonomous distributed agents situated and grounded in an open environment. Because the agents are autonomous,...
Luc Steels, Frédéric Kaplan
ATAL
2009
Springer
14 years 4 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
AAAI
2000
13 years 11 months ago
Self-Supervised Learning for Visual Tracking and Recognition of Human Hand
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...
Ying Wu, Thomas S. Huang
ITS
2004
Springer
91views Multimedia» more  ITS 2004»
14 years 3 months ago
Selecting Theories in an Ontology-Based ITS Authoring Environment
This paper introduces the rationale for concrete situations in the authoring process that can exploit a theory-aware Authoring Environment. It illustrates how Ontological Engineeri...
Jacqueline Bourdeau, Riichiro Mizoguchi, Val&eacut...