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ATAL
2008
Springer
13 years 9 months ago
Artificial agents learning human fairness
Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually ...
Steven de Jong, Karl Tuyls, Katja Verbeeck
LAMAS
2005
Springer
14 years 1 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 ...
ATAL
2009
Springer
13 years 5 months ago
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
Michael Kaisers, Karl Tuyls
ATAL
2004
Springer
14 years 1 months ago
Bayesian Reinforcement Learning for Coalition Formation under Uncertainty
Research on coalition formation usually assumes the values of potential coalitions to be known with certainty. Furthermore, settings in which agents lack sufficient knowledge of ...
Georgios Chalkiadakis, Craig Boutilier
AI
2006
Springer
13 years 11 months ago
Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem
Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
Julien Laumonier, Brahim Chaib-draa