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» A framework for learning coordinated behavior
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HPDC
2009
IEEE
13 years 11 months ago
Maestro: a self-organizing peer-to-peer dataflow framework using reinforcement learning
In this paper we describe Maestro, a dataflow computation framework for Ibis, our Java-based grid middleware. The novelty of Maestro is that it is a self-organizing peer-to-peer s...
C. van Reeuwijk
AAMAS
2000
Springer
13 years 7 months ago
Synthesizing Coordination Requirements for Heterogeneous Autonomous Agents
Abstract. As agents move into ever more important applications, there is a natural growth in interest in techniques for synthesizing multiagent systems. We describe an approach for...
Munindar P. Singh
ROBOCUP
2005
Springer
109views Robotics» more  ROBOCUP 2005»
14 years 26 days ago
Using the Max-Plus Algorithm for Multiagent Decision Making in Coordination Graphs
Abstract. Coordination graphs offer a tractable framework for cooperative multiagent decision making by decomposing the global payoff function into a sum of local terms. Each age...
Jelle R. Kok, Nikos A. Vlassis
ICRA
2003
IEEE
154views Robotics» more  ICRA 2003»
14 years 19 days ago
Scalability and schedulability in large, coordinated, distributed robot systems
— Multiple, independent robot platforms promise significant advantage with respect to robustness and flexibility. However, coordination between otherwise independent robots req...
John Sweeney, Huan Li, Roderic A. Grupen, Krithi R...
STAIRS
2008
113views Education» more  STAIRS 2008»
13 years 8 months ago
Integrating individual and social intelligence into module-based agents without central coordinator
Robots are complex entities that can be modeled as multi-agent systems. The multi-agent paradigm provides an integrated intelligence framework such as a path planning agent that us...
Bianca Innocenti, Beatriz López, Joaquim Sa...