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Giving advice to agents with hidden goals

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dc.contributor.author Rosman, Benjamin S
dc.contributor.author Ramamoorthy, S
dc.date.accessioned 2014-08-25T10:06:50Z
dc.date.available 2014-08-25T10:06:50Z
dc.date.issued 2014-05
dc.identifier.citation Rosman, B.S. and Ramamoorthy, S. 2014. Robust Autonomy and Decisions Group. In: 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), Hong Kong, China, 31 May - 7 June 2014 en_US
dc.identifier.uri http://rad.inf.ed.ac.uk/data/publications/2014/icra14rosman.pdf
dc.identifier.uri http://hdl.handle.net/10204/7620
dc.description 2014 IEEE International Conference on Robotics and Automation (ICRA 2014), Hong Kong, China, 31 May - 7 June 2014 en_US
dc.description.abstract This paper considers the problem of providing advice to an autonomous agent when neither the behavioural policy nor the goals of that agent are known to the advisor. We present an approach based on building a model of “common sense” behaviour in the domain, from an aggregation of different users performing various tasks, modelled as MDPs, in the same domain. From this model, we estimate the normalcy of the trajectory given by a new agent in the domain, and provide behavioural advice based on an approximation of the trade-off in utility between potential benefits to the exploring agent and the costs incurred in giving this advice. This model is evaluated on a maze world domain by providing advice to different types of agents, and we show that this leads to a considerable and unanimous improvement in the completion rate of their tasks. en_US
dc.language.iso en en_US
dc.publisher Robust Autonomy and Decisions Group en_US
dc.relation.ispartofseries Workflow;13281
dc.subject Robot companions en_US
dc.subject Social human-robot interaction en_US
dc.subject Autonomous agents en_US
dc.subject Intelligent transportation systems en_US
dc.title Giving advice to agents with hidden goals en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Rosman, B. S., & Ramamoorthy, S. (2014). Giving advice to agents with hidden goals. Robust Autonomy and Decisions Group. http://hdl.handle.net/10204/7620 en_ZA
dc.identifier.chicagocitation Rosman, Benjamin S, and S Ramamoorthy. "Giving advice to agents with hidden goals." (2014): http://hdl.handle.net/10204/7620 en_ZA
dc.identifier.vancouvercitation Rosman BS, Ramamoorthy S, Giving advice to agents with hidden goals; Robust Autonomy and Decisions Group; 2014. http://hdl.handle.net/10204/7620 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Rosman, Benjamin S AU - Ramamoorthy, S AB - This paper considers the problem of providing advice to an autonomous agent when neither the behavioural policy nor the goals of that agent are known to the advisor. We present an approach based on building a model of “common sense” behaviour in the domain, from an aggregation of different users performing various tasks, modelled as MDPs, in the same domain. From this model, we estimate the normalcy of the trajectory given by a new agent in the domain, and provide behavioural advice based on an approximation of the trade-off in utility between potential benefits to the exploring agent and the costs incurred in giving this advice. This model is evaluated on a maze world domain by providing advice to different types of agents, and we show that this leads to a considerable and unanimous improvement in the completion rate of their tasks. DA - 2014-05 DB - ResearchSpace DP - CSIR KW - Robot companions KW - Social human-robot interaction KW - Autonomous agents KW - Intelligent transportation systems LK - https://researchspace.csir.co.za PY - 2014 T1 - Giving advice to agents with hidden goals TI - Giving advice to agents with hidden goals UR - http://hdl.handle.net/10204/7620 ER - en_ZA


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