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Preference elicitat...
Preference elicitation and inverse reinforcement learning
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Rothkopf, C.A. (författare)
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- Dimitrakakis, Christos, 1975 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- ISBN 9783642238079
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2011
- 2011
- Engelska.
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Ingår i: Machine Learning and Knowledge Discovery in Databases, ECML 2011. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 9783642238079
- Relaterad länk:
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http://arxiv.org/pdf...
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visa fler...
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https://doi.org/10.1...
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https://research.cha...
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Abstract
Ämnesord
Stäng
- We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulation. This generalises previous work on Bayesian inverse reinforcement learning and allows us to obtain a posterior distribution on the agent's preferences, policy and optionally, the obtained reward sequence, from observations. We examine the relation of the resulting approach to other statistical methods for inverse reinforcement learning via analysis and experimental results. We show that preferences can be determined accurately, even if the observed agent's policy is sub-optimal with respect to its own preferences. In that case, significantly improved policies with respect to the agent's preferences are obtained, compared to both other methods and to the performance of the demonstrated policy. © 2011 Springer-Verlag.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- preference elicitation
- Inverse reinforcement learning
- decision theory
- Bayesian inference
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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