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» Cooperative Multiagent Learning
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AGENTS
1999
Springer
15 years 1 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
ATAL
2007
Springer
15 years 3 months ago
Cooperative evolution of service ontologies
Most of the proposed approaches in automatic service selection assume the existence of a common ontology among communicating agents. However, this assumption becomes difficult to...
Murat Sensoy, Pinar Yolum
73
Voted
ATAL
2009
Springer
15 years 4 months ago
Effective tag mechanisms for evolving cooperation
Certain observable features (tags), shared by a group of similar agents, can be used to signal intentions and can be effectively used to infer unobservable properties. Such infere...
Matthew Matlock, Sandip Sen
CIMCA
2006
IEEE
15 years 3 months ago
Multi-Agent Coalition Formation for Long-Term Task or Mobile Network
Coalition formation is a process to form a group and solve a problem via cooperation. Because of the rising of network, each computing device can communicate through network. We c...
Hsiu-Hui Lee, Chung-Hsien Chen
69
Voted
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 3 months ago
Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach
In this paper we investigate the emergence of communication in competitive multi-agent systems. A competitive environment is created with two teams of agents competing in an explo...
Michelle McPartland, Stefano Nolfi, Hussein A. Abb...