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» Exploring XCS in multiagent environments
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CDC
2010
IEEE
107views Control Systems» more  CDC 2010»
14 years 6 months ago
Probabilistic mutual localization in multi-agent systems from anonymous position measures
Abstract-- Recent research on multi-agent systems has produced a plethora of decentralized controllers that implicitly assume various degrees of agent localization. However, many p...
Antonio Franchi, Giuseppe Oriolo, Paolo Stegagno
102
Voted
ICML
2007
IEEE
16 years 14 days ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
73
Voted
MABS
2005
Springer
15 years 5 months ago
Analysing Partner Selection Through Exchange Values
Abstract. Dynamic and resource-constrained environments raise interesting issues for partnership formation and multi-agent systems. In a scenario in which agents interact with each...
Maíra Ribeiro Rodrigues, Michael Luck
IJCAI
2003
15 years 1 months ago
A Bayesian Approach to Imitation in Reinforcement Learning
In multiagent environments, forms of social learning such as teaching and imitation have been shown to aid the transfer of knowledge from experts to learners in reinforcement lear...
Bob Price, Craig Boutilier
MM
2010
ACM
137views Multimedia» more  MM 2010»
14 years 12 months ago
Coming together: composition by negotiation
In this paper, we describe a software system that generates unique musical compositions in realtime, created by four autonomous multi-agents. Given no explicit musical data, agent...
Arne Eigenfeldt