Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis

Linear combination of one-step predictive information with an external reward in an episodic policy gradient setting: a critical analysis

One of the main challenges in the field of embodied artificial intelligence is the open-ended autonomous learning of complex behaviours. Our approach is to use task-independent, information-driven intrinsic motivation(s) to support task-dependent learning. The work presented here is a preliminary st...

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Bibliographic Details
Main Authors: Keyan eZahedi, Georg eMartius, Nihat eAy
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-11-01
Series:Frontiers in Psychology
Subjects:
Embodied Artificial Intelligence
Information-driven self-organisation
Predictive Information
Reinforcement Learning
Embodied Machine Learning
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00801/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00801/full

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