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Explainability in Deep Reinforcement Learning: A Review into Current Methods and Applications.

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Title: Explainability in Deep Reinforcement Learning: A Review into Current Methods and Applications.
Authors: Hickling, Thomas1 (AUTHOR) tom.hickling@city.ac.uk, Zenati, Abdelhafid1 (AUTHOR) abdelhafid.zenati@city.ac.uk, Aouf, Nabil1 (AUTHOR) nabil.aouf@city.ac.uk, Spencer, Phillippa2 (AUTHOR) PSpencer@mail.dstl.gov.uk
Source: ACM Computing Surveys. May2024, Vol. 56 Issue 5, p1-35. 35p.
Database: Business Source Ultimate
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  Data: <searchLink fieldCode="JN" term="%22ACM+Computing+Surveys%22">ACM Computing Surveys</searchLink>. May2024, Vol. 56 Issue 5, p1-35. 35p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=174873134
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              Text: May2024
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