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conda-forge / packages / r-policytree

Learn optimal policies via doubly robust empirical welfare maximization over trees. This package implements the multi-action doubly robust approach of Zhou, Athey and Wager (2018) <arXiv:1810.04778> in the case where we want to learn policies that belong to the class of depth k decision trees.

copied from cf-staging / r-policytree

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Type Size Name Uploaded Downloads Labels
conda 143.3 kB | win-64/r-policytree-1.0.4-r41ha856d6a_0.tar.bz2  3 years and 7 months ago 761 main
conda 136.7 kB | osx-64/r-policytree-1.0.4-r41h9951f98_0.tar.bz2  3 years and 7 months ago 114 main
conda 144.3 kB | linux-64/r-policytree-1.0.4-r41h03ef668_0.tar.bz2  3 years and 7 months ago 2229 main
conda 152.7 kB | win-64/r-policytree-1.0.4-r36ha856d6a_0.tar.bz2  3 years and 7 months ago 748 main
conda 152.5 kB | win-64/r-policytree-1.0.4-r40ha856d6a_0.tar.bz2  3 years and 7 months ago 752 main
conda 136.9 kB | osx-64/r-policytree-1.0.4-r40h9951f98_0.tar.bz2  3 years and 7 months ago 113 main
conda 136.9 kB | osx-64/r-policytree-1.0.4-r36h9951f98_0.tar.bz2  3 years and 7 months ago 113 main
conda 144.4 kB | linux-64/r-policytree-1.0.4-r36h03ef668_0.tar.bz2  3 years and 7 months ago 2222 main
conda 144.2 kB | linux-64/r-policytree-1.0.4-r40h03ef668_0.tar.bz2  3 years and 7 months ago 2246 main
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