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CIG
2005
IEEE
14 years 1 months ago
Adapting Reinforcement Learning for Computer Games: Using Group Utility Functions
AbstractGroup utility functions are an extension of the common team utility function for providing multiple agents with a common reinforcement learning signal for learning cooperat...
Jay Bradley, Gillian Hayes
HIS
2004
13 years 9 months ago
Stigmergy in Multi Agent Reinforcement Learning
In this paper, we describe how certain aspects of the biological phenomena of stigmergy can be imported into multiagent reinforcement learning (MARL), with the purpose of better e...
Raghav Aras, Alain Dutech, François Charpil...
AAMAS
1999
Springer
13 years 7 months ago
Learning Situation-Specific Coordination in Cooperative Multi-agent Systems
Achieving effective cooperation in a multi-agent system is a difficult problem for a number of reasons such as limited and possiblyout-datedviews of activitiesof other agents and ...
M. V. Nagendra Prasad, Victor R. Lesser
ICMAS
1998
13 years 9 months ago
The Moving Target Function Problem in Multi-Agent Learning
We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
José M. Vidal, Edmund H. Durfee
AGENTS
1999
Springer
13 years 12 months ago
General Principles of Learning-Based Multi-Agent Systems
We consider the problem of how to design large decentralized multiagent systems (MAS’s) in an automated fashion, with little or no hand-tuning. Our approach has each agent run a...
David Wolpert, Kevin R. Wheeler, Kagan Tumer