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» Maximal Introspection of Agents
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79
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JMLR
2006
153views more  JMLR 2006»
14 years 10 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
66
Voted
CSCWD
2005
Springer
15 years 3 months ago
Supporting peer-to-peer collaboration through trust
Distributed systems generally require their component parts to interact cooperatively, in order for the system as a whole to function effectively. For any given activity, several ...
Nathan Griffiths, Shanghua Sun
75
Voted
SIGECOM
2010
ACM
161views ECommerce» more  SIGECOM 2010»
15 years 3 months ago
Computation and incentives in combinatorial public projects
The Combinatorial Public Projects Problem s an abstraction of resource allocation problems in which agents have preferences over alternatives, and an outcome that is to be collect...
Dave Buchfuhrer, Michael Schapira, Yaron Singer
AAAI
2006
14 years 11 months ago
Multiclass Support Vector Machines for Articulatory Feature Classification
of somewhat abstracting away from the literal physiological measurements of articulation that are so closely tied to the acoustic signal, and with some additional computational bur...
Brian Hutchinson, Jianna Zhang
95
Voted
MAAMAW
1992
Springer
15 years 2 months ago
Equilibratory Approach to Distributed Resource Allocation: Toward Coordinated Balancing
This paper presents a microeconomics-based equilibratory approach to a distributed resource allocation problem in a multi-agent system. In a multi-agent system, each agent has its ...
Kazuhiro Kuwabara, Toru Ishida