NDLI: Implicit estimation of other's intention without direct observation of actions in a collaborative task: situation-sensitive reinforcement learning

Content Provider	IEEE Xplore Digital Library
Author	Taniguchi, T. Ogawa, K. Sawaragi, T.
Copyright Year	2007
Description	Author affiliation: Kyoto Univ., Kyoto (Taniguchi, T.)
Abstract	An agent in a multi-agent environment should adapt to the diversities of dynamics that are caused by changes in the physical properties of the task environment and in social situations concerning how the partner is shifting his/her behaviors to achieve the task. When the partner's intention changes in the latter, a collaborator agent has to notice this from what is observed in the shared-task environment and to explore how to adaptively collaborate with the partner. A situation-sensitive reinforcement learning (SSRL) architecture is presented in this paper. SSRL enables a collaborator agent to implicitly estimate the partner's goal. The mathematical basis of the implicit estimates is also addressed. A simple truck-pushing task by a pair of agents is presented as a testbed example, and the simulation results show that organized collaboration could be achieved by an agent embedded with our model in adapting to the partner's intentional strategic changes.
Starting Page	996
Ending Page	1003
File Size	1592042
Page Count	8
File Format	PDF
ISBN	9784907764272
DOI	10.1109/SICE.2007.4421130
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-17
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE
Subject Keyword	Collaboration Learning Computer architecture Humans Autonomous agents Robots Computational modeling Informatics Cultural differences Testing modular learning Reinforcement learning multi-agent systems cooperative systems
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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