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AAMAS
2002
Springer
15 years 6 months ago
Cooperative Learning Using Advice Exchange
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
Luís Nunes, Eugenio Oliveira
IAT
2010
IEEE
15 years 4 months ago
Selecting Operator Queries Using Expected Myopic Gain
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...
ATAL
2007
Springer
16 years 28 days ago
Sharing experiences to learn user characteristics in dynamic environments with sparse data
This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
David Sarne, Barbara J. Grosz
CIVR
2003
Springer
200views Image Analysis» more  CIVR 2003»
15 years 12 months ago
Multimedia Search with Pseudo-relevance Feedback
We present an algorithm for video retrieval that fuses the decisions of multiple retrieval agents in both text and image modalities. While the normalization and combination of evi...
Rong Yan, Alexander G. Hauptmann, Rong Jin
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...