Curiosity Driven Reinforcement Learning for Motion Planning on Humanoids

Curiosity Driven Reinforcement Learning for Motion Planning on Humanoids

Most previous work on textit{artificial curiosity} and textit{intrinsic motivation} focuses on basic concepts and theory. Experimental results are generally limited to toy scenarios, such as navigation in a simulated maze, or control of a simple mechanical system with one or two degrees of freedom....

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Bibliographic Details
Main Authors: Mikhail eFrank, Jürgen eLeitner, Marijn eStollenga, Alexander eFörster, Jürgen eSchmidhuber
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-01-01
Series:Frontiers in Neurorobotics
Subjects:
reinforcement learning
humanoid
iCub
artificial curiosity
intrinsic motivation
embodied AI
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnbot.2013.00025/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnbot.2013.00025/full

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