Training parsers by inverse reinforcement learning

@article{Neu2009TrainingPB,
  title={Training parsers by inverse reinforcement learning},
  author={Gergely Neu and Csaba Szepesv{\'a}ri},
  journal={Machine Learning},
  year={2009},
  volume={77},
  pages={303-337}
}
One major idea in structured prediction is to assume that the predictor computes its output by finding the maximum of a score function. The training of such a predictor can then be cast as the problem of finding weights of the score function so that the output of the predictor on the inputs matches the corresponding structured labels on the training set. A similar problem is studied in inverse reinforcement learning (IRL) where one is given an environment and a set of trajectories and the… CONTINUE READING
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