date: 2022-07-26T12:42:55Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Curiosity in exploring chemical spaces: intrinsic rewards for molecular reinforcement learning xmp:CreatorTool: XeLateX with hyperref package access_permission:can_print_degraded: true subject: Machine Learning: Science and Technology, 3 (2022) 035008 doi: 10.1088/2632-2153/ac7ddc language: dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: XeLateX with hyperref package access_permission:fill_in_form: true pdf:encrypted: false dc:title: Curiosity in exploring chemical spaces: intrinsic rewards for molecular reinforcement learning modified: 2022-07-26T12:42:55Z cp:subject: Machine Learning: Science and Technology, 3 (2022) 035008 doi: 10.1088/2632-2153/ac7ddc pdf:docinfo:custom:CrossMarkDomains[1]: iop.org robots: noindex pdf:docinfo:subject: Machine Learning: Science and Technology, 3 (2022) 035008 doi: 10.1088/2632-2153/ac7ddc pdf:docinfo:creator: Luca A Thiede,Mario Krenn,AkshatKumar Nigam,Alán Aspuru-Guzik meta:author: Luca A Thiede,Mario Krenn,AkshatKumar Nigam,Alán Aspuru-Guzik meta:creation-date: 2022-07-25T15:07:00Z created: 2022-07-25T15:07:00Z access_permission:extract_for_accessibility: true Creation-Date: 2022-07-25T15:07:00Z pdf:docinfo:custom:doi: 10.1088/2632-2153/ac7ddc pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Luca A Thiede,Mario Krenn,AkshatKumar Nigam,Alán Aspuru-Guzik producer: XeLateX; modified using iText® 5.5.10 ©2000-2015 iText Group NV (AGPL-version) (AGPL-version) CrossmarkDomainExclusive: true pdf:docinfo:producer: XeLateX; modified using iText® 5.5.10 ©2000-2015 iText Group NV (AGPL-version) (AGPL-version) doi: 10.1088/2632-2153/ac7ddc pdf:docinfo:custom:CrossMarkMajorVersionDate: 2022-7-25 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Machine Learning: Science and Technology, 3 (2022) 035008 doi: 10.1088/2632-2153/ac7ddc Keywords: reinforcement learning,molecular design,intrinsic rewards access_permission:modify_annotations: true dc:creator: Luca A Thiede,Mario Krenn,AkshatKumar Nigam,Alán Aspuru-Guzik description: Machine Learning: Science and Technology, 3 (2022) 035008 doi: 10.1088/2632-2153/ac7ddc dcterms:created: 2022-07-25T15:07:00Z Last-Modified: 2022-07-26T12:42:55Z dcterms:modified: 2022-07-26T12:42:55Z title: Curiosity in exploring chemical spaces: intrinsic rewards for molecular reinforcement learning xmpMM:DocumentID: uuid:00000aea-8d18-4d18-88d1-8d1dc46267a3 Last-Save-Date: 2022-07-26T12:42:55Z CrossMarkDomains[1]: iop.org pdf:docinfo:keywords: reinforcement learning,molecular design,intrinsic rewards pdf:docinfo:modified: 2022-07-26T12:42:55Z meta:save-date: 2022-07-26T12:42:55Z CrossMarkMajorVersionDate: 2022-7-25 Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Luca A Thiede,Mario Krenn,AkshatKumar Nigam,Alán Aspuru-Guzik dc:language: dc:subject: reinforcement learning,molecular design,intrinsic rewards access_permission:assemble_document: true xmpTPg:NPages: 18 pdf:charsPerPage: 684 access_permission:extract_content: true access_permission:can_print: true meta:keyword: reinforcement learning,molecular design,intrinsic rewards access_permission:can_modify: true pdf:docinfo:created: 2022-07-25T15:07:00Z