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Teaching robots behavior patterns by using reinforcement learning - How to raise pet robots with a remote control
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
2004 (English)In: SICE 2004 Annual Conference, Vols 1-3, 2004, 143-146 p.Conference paper (Refereed)
Abstract [en]

The goal of this project was to show that complex behavior patterns can be learnt by a system based on reinforcement learning. The specific task was to make AIBO, the Sony robot dog, learn complex behavior patterns based on interactions between humans and AEBO. The reinforcement learning system is taught by remote control, used by the human and connected to AIBO. To remember the learnt behavior sequences, a short-term memory of prior actions is used by AIBO. This paper demonstrates that it is possible to learn behavior sequences and the relationship of cause and effect in complex environments. The paper also shows that the system works in a natural environment, based on the interaction between humans and AIBO, learning the rewards and the means to reach them in parallel. AIBO is also able to pick up new behaviors instantly by using a method we call 'Instant learning'. The paper presents the methods for implementing such a system.

Place, publisher, year, edition, pages
2004. 143-146 p.
Keyword [en]
learning, remote control user demonstration, AIBO
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-44325ISI: 000231324800028ScopusID: 2-s2.0-12744254963ISBN: 4-907764-22-7OAI: diva2:451093
SICE 2004 Annual Conference Location: Sapporo, JAPAN Date: AUG 04-06, 2005

QC 20111024

Available from: 2011-10-24 Created: 2011-10-20 Last updated: 2014-12-15Bibliographically approved

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Ullerstam, Måns
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