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(Explainable) Algorithmic Recourse with Reinforcement Learning and MCTS (FARE and E-FARE)

Home Page: https://doi.org/10.1007/s10994-022-06293-7

License: MIT License

Python 91.67% Jupyter Notebook 8.12% Shell 0.21%
algorithmic-recourse explainable-ai machine-learning mcts monte-carlo-tree-search reinfrocement-learning

recourse-fare's Issues

Issue with imports and dependencies

Unable to run the code due to dependency issue:

  1. in blackbox/adult/adult_scm: from recourse_fare.utils.wfare_utils.structural_weights import StructuralWeights
  2. in utils: from recourse_fare.models.WFAREFiner import WFAREFiner

Please also specify python version, and update the versions for tensorflow, tensorboard, torch and numpy in keeping with other dependencies.

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