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IROS
2007
IEEE
132views Robotics» more  IROS 2007»
15 years 8 months ago
Hysteretic q-learning : an algorithm for decentralized reinforcement learning in cooperative multi-agent teams
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
Laëtitia Matignon, Guillaume J. Laurent, Nadi...
HICSS
2006
IEEE
115views Biometrics» more  HICSS 2006»
15 years 8 months ago
ACLE: A Communication Environment for Asynchronous Collaborative Learning
The popularity of distributed learning and the continued growth in the number of colleges and universities offering courses delivered entirely via asynchronous learning networks (...
Timothy J. Ellis, William Hafner
LAMAS
2005
Springer
15 years 7 months ago
An Overview of Cooperative and Competitive Multiagent Learning
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean ...
SEMWEB
2004
Springer
15 years 7 months ago
Learning Meta-descriptions of the FOAF Network
We argue that in a distributed context, such as the Semantic Web, ontology engineers and data creators often cannot control (or even imagine) the possible uses their data or ontolo...
Gunnar Aastrand Grimnes, Peter Edwards, Alun D. Pr...
ICALT
2003
IEEE
15 years 7 months ago
An Intelligent Tutoring System Prototype for Learning to Program Java?
The “JavaTM Intelligent Tutoring System” (JITS) research project involves the development of a programming tutor designed for students in their first programming course in Jav...
Edward R. Sykes