Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards

Learning in human-robot interaction, as well as in human-to-human situations, is characterised by noisy stimuli, variable timing of stimuli and actions, and delayed rewards. A recent model of neural learning, based on modulated plasticity, suggested the use of rare correlations and eligibility trace...

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Bibliographic Details

Main Authors:	Andrea Soltoggio, Felix Reinhart, Andre Lemme, Jochen Steil
Format:	Default Conference proceeding
Published:	2013
Subjects:	Other information and computing sciences not elsewhere classified untagged Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/16076
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