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AGENTS
2001
Springer
15 years 11 months ago
Hierarchical multi-agent reinforcement learning
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
AGENTS
2001
Springer
15 years 11 months ago
Matchmaking among minimal agents without a facilitator
Multi-Agent Systems are a promising way of dealing with large complex problems. However, it is not yet clear just how much complexity or pre-existing structure individual agents m...
Elth Ogston, Stamatis Vassiliadis
231
Voted
AGENTS
2001
Springer
15 years 11 months ago
A fuzzy model of reputation in multi-agent systems
Agents are intended to interact in open systems where the knowledge about others (reputation) is incomplete and uncertain. Also, this knowledge about other agents is subjective si...
Javier Carbo Rubiera, José M. Molina L&oacu...
359
Voted
AGENTS
2001
Springer
15 years 11 months ago
Adjustable autonomy in real-world multi-agent environments
Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but wi...
Paul Scerri, David V. Pynadath, Milind Tambe
AGENTS
2001
Springer
15 years 11 months ago
AgentSalon: facilitating face-to-face knowledge exchange through conversations among personal agents
This paper presents a system called AgentSalon, which facilitates face-to-face knowledge exchange and discussion by people having shared interests, in museums, schools, offices, a...
Yasuyuki Sumi, Kenji Mase
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