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@ARTICLE{Xing:1023826,
      author       = {Xing, Jinwei and Nagata, Takashi and Zou, Xinyun and
                      Neftci, Emre and Krichmar, Jeffrey L.},
      title        = {{A}chieving efficient interpretability of reinforcement
                      learning via policy distillation and selective input
                      gradient regularization},
      journal      = {Neural networks},
      volume       = {161},
      issn         = {0893-6080},
      address      = {Amsterdam},
      publisher    = {Elsevier},
      reportid     = {FZJ-2024-01831},
      pages        = {228 - 241},
      year         = {2023},
      cin          = {PGI-15},
      ddc          = {004},
      cid          = {I:(DE-Juel1)PGI-15-20210701},
      pnm          = {5234 - Emerging NC Architectures (POF4-523)},
      pid          = {G:(DE-HGF)POF4-5234},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {36774862},
      UT           = {WOS:000943188100001},
      doi          = {10.1016/j.neunet.2023.01.025},
      url          = {https://juser.fz-juelich.de/record/1023826},
}