Challenges of real-world reinforcement learning: definitions, benchmarks and analysis
type: Item
instance of: scholarly article
title: Challenges of real-world reinforcement learning: definitions, benchmarks and analysis
author: Gabriel Dulac-Arnold
author: Nir Levine
author: Daniel J. Mankowitz
author: Jerry Li
author: Cosmin Paduraru
author: Sven Gowal
author: Todd Hester
published in: Machine Learning
publication date: 2022-01-28T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7465677
zbMATH Keywords: reinforcement learning
zbMATH Keywords: real-world
zbMATH Keywords: applied reinforcement learning
describes a project that uses: IMPALA
describes a project that uses: QT-Opt
describes a project that uses: Safety Gym
describes a project that uses: MOPO
describes a project that uses: POMDP
describes a project that uses: Horizon
describes a project that uses: TEXPLORE
MaRDI profile type: Publication
full work available at URL: s10994-021-05961-4
OpenAlex ID: W3121342653
Wikidata QID: Q114224937
cites work: Q4264741
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DOI: 10.1007/S10994-021-05961-4
description: scientific article; zbMATH DE number 7465677