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"Conservative Q-Improvement: Reinforcement Learning for an Interpretable ..."

Aaron M. Roth et al. (2019)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2019-07-08

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1907-01180
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1907-01180
Aaron M. Roth, Nicholay Topin, Pooyan Jamshidi, Manuela Veloso:
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy. CoRR abs/1907.01180 (2019)

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