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» Cooperative Multiagent Learning
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GECCO
2003
Springer
105views Optimization» more  GECCO 2003»
15 years 2 months ago
Coevolving Communication and Cooperation for Lattice Formation Tasks
Abstract. Reactive multi-agent systems are shown to coevolve with explicit communication and cooperative behavior to solve lattice formation tasks. Comparable agents that lack the ...
Jekanthan Thangavelautham, Tim D. Barfoot, Gabriel...
105
Voted
CORR
2010
Springer
185views Education» more  CORR 2010»
14 years 6 months ago
Analysing the behaviour of robot teams through relational sequential pattern mining
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
Grazia Bombini, Raquel Ros, Stefano Ferilli, Ramon...
82
Voted
CIG
2005
IEEE
15 years 3 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
PRICAI
2000
Springer
15 years 1 months ago
Constructing an Autonomous Agent with an Interdependent Heuristics
When we construct an agent by integrating modules, there appear troubles concerning the autonomy of the agent if we introduce a heuristics that dominates the whole agent. Thus, we ...
Koichi Moriyama, Masayuki Numao