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12

ATAL
2008
Springer

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Using adaptive consultation of experts to improve convergence rates in multiagent learning

13 years 6 months ago

Using adaptive consultation of experts to improve convergence rates in multiagent learning

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In this paper we study the use of experts algorithms in a multiagent setting. In this paper we allow agents to use multiple experts and explore different experts algorithms that allow agents to adaptively decide which expert to consult. By doing so, agents can further improve the learning process and are better able to deal with new games and situations.

Greg Hines, Kate Larson

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ATAL 2008 | Experts Algorithms | Intelligent Agents | Multiagent Setting | Multiple Experts |

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Added	12 Oct 2010
Updated	12 Oct 2010
Type	Conference
Year	2008
Where	ATAL
Authors	Greg Hines, Kate Larson

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