Knows what it knows: a framework for self-aware learning
type: Item
instance of: scholarly article
title: Knows what it knows: a framework for self-aware learning
zbMATH Open document ID: 1237.68154
author: Thomas J. Walsh
author: Alexander Strehl
author: Lihong Li
author: Michael L. Littman
published in: Machine Learning
publication date: 2012-05-08T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68Q32
zbMATH DE Number: 6031578
zbMATH Keywords: reinforcement learning
zbMATH Keywords: knows what it knows (KWIK)
zbMATH Keywords: probably approximately correct (PAC)
zbMATH Keywords: mistake bound
zbMATH Keywords: computational learning theory
zbMATH Keywords: exploration
zbMATH Keywords: active learning
describes a project that uses: R-MAX
MaRDI profile type: Publication
full work available at URL: s10994-010-5225-4
OpenAlex ID: W2488247662
cites work: Queries and concept learning
cites work: Queries revisited.
cites work: 10.1162/153244303321897663
cites work: Q3241581
cites work: Stochastic optimal control. The discrete time case
cites work: Q4256521
cites work: 10.1162/153244303765208377
cites work: Provably efficient learning with typed parametric models
cites work: Minimizing Regret With Label Efficient Prediction
cites work: Q3093388
cites work: The complexity of dynamic programming
cites work: Q4526998
cites work: Selective sampling using the query by committee algorithm
cites work: Generalization bounds for averaged classifiers
cites work: Q3359644
cites work: Apple tasting.
cites work: Probability Inequalities for Sums of Bounded Random Variables
cites work: Toward efficient agnostic learning
cites work: Efficient distribution-free learning of probabilistic concepts
cites work: Near-optimal reinforcement learning in polynomial time
cites work: A sparse sampling algorithm for near-optimal planning in large Markov decision processes
cites work: An empirical study of two approaches to sequence learning for anomaly detection
cites work: Reducing reinforcement learning to KWIK online regression
cites work: Q4013545
cites work: Q4315289
cites work: Q3096113
cites work: An upper bound on the loss from approximate optimal-value functions
cites work: Q4400449
cites work: Reinforcement learning in finite MDPs: PAC analysis
cites work: A theory of the learnable
DOI: 10.1007/S10994-010-5225-4
description: scientific article; zbMATH DE number 6031578