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» Learning Complementary Multiagent Behaviors: A Case Study
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IAT
2009
IEEE
14 years 7 months ago
A Multi-agent Resource Negotiation for Social Welfare
This study seeks to provide scalable and distributed algorithms to solve the resource allocation problem within an agent community. We propose an approach that can be applied to a...
Antoine Nongaillard, Philippe Mathieu
IROS
2007
IEEE
132views Robotics» more  IROS 2007»
15 years 3 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...
IADIS
2004
14 years 10 months ago
Assessment of User Rationality and Adaptivity: A Case Study
The paper presents the results of an empirical study on users' behaviors when they were asked to perform a task and its variant in a usability test. Specific focus was set on...
Effie Lai-Chong Law, Borka Jerman-Blazic
ICALT
2009
IEEE
15 years 4 months ago
Indicators for Deducting the Learners' Learning Styles: Case of the Navigation Typology Indicator
Research in individual differences and in particular, learning and cognitive style, has become a basis to consider learner preferences in a web-based educational context. How lear...
Nabila Bousbia, Jean-Marc Labat, Issam Rebaï,...
JMLR
2006
153views more  JMLR 2006»
14 years 9 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis