Training parsers by inverse reinforcement learning
type: Item
instance of: scholarly article
title: Training parsers by inverse reinforcement learning
zbMATH Open document ID: 1470.68150
author: Gergely Neu
author: Csaba Szepesvári
published in: Machine Learning
publication date: 2010-10-07T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62M20
Mathematics Subject Classification ID: 68T50
zbMATH DE Number: 5796839
zbMATH Keywords: reinforcement learning
zbMATH Keywords: inverse reinforcement learning
zbMATH Keywords: parsing
zbMATH Keywords: PCFG
zbMATH Keywords: discriminative parser training
zbMATH Keywords: parser training
zbMATH Keywords: parsing as behavior
describes a project that uses: Pegasos
describes a project that uses: Penn Treebank
MaRDI profile type: Publication
full work available at URL: s10994-009-5110-1
OpenAlex ID: W2119785746
cites work: Q4257216
cites work: Linear Matrix Inequalities in System and Control Theory
cites work: Prediction, Learning, and Games
cites work: Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields
cites work: Large margin classification using the perceptron algorithm
cites work: Information Theory and Statistical Mechanics
cites work: Q4939994
cites work: Pegasos: primal estimated sub-gradient solver for SVM
DOI: 10.1007/S10994-009-5110-1
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description: scientific article; zbMATH DE number 5796839