{"id":"https://openalex.org/W2957460253","doi":null,"title":"Reinforcement Learning with Chromatic Networks","display_name":"Reinforcement Learning with Chromatic Networks","publication_year":2019,"publication_date":"2019-09-25","ids":{"openalex":"https://openalex.org/W2957460253","mag":"2957460253"},"language":"en","primary_location":{"id":"mag:2957460253","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1907.06511.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1907.06511.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081034298","display_name":"Xingyou Song","orcid":"https://orcid.org/0000-0001-6055-3174","observed_orcids":["https://orcid.org/0000-0001-6055-3174"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xingyou Song","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6055-3174","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031842812","display_name":"Krzysztof Choroma\u0144ski","orcid":"https://orcid.org/0000-0003-3626-414X","observed_orcids":["https://orcid.org/0000-0003-3626-414X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krzysztof Choroma\u0144ski","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083828420","display_name":"Jack Parker-Holder","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jack Parker-Holder","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002692470","display_name":"Yunhao Tang","orcid":"https://orcid.org/0009-0001-2387-729X","observed_orcids":["https://orcid.org/0009-0001-2387-729X","https://orcid.org/0009-0000-0085-1356","https://orcid.org/0009-0000-0887-7411"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunhao Tang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017828790","display_name":"Wenbo Gao","orcid":"https://orcid.org/0000-0002-4471-1870","observed_orcids":["https://orcid.org/0000-0002-4471-1870","https://orcid.org/0009-0005-3481-9908"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenbo Gao","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4471-1870","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006761546","display_name":"Aldo Pacchiano","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aldo Pacchiano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082122135","display_name":"Tam\u00e1s Sarl\u00f3s","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tam\u00e1s Sarl\u00f3s","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Deepali Jain","orcid":"https://orcid.org/0000-0001-9994-7584","observed_orcids":["https://orcid.org/0000-0001-9994-7584"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deepali Jain","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9994-7584","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005904006","display_name":"Yuxiang Yang","orcid":"https://orcid.org/0000-0002-4750-7293","observed_orcids":["https://orcid.org/0000-0002-4750-7293"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuxiang Yang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4750-7293","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.8240000009536743},{"id":"https://openalex.org/keywords/compact-neural-networks","display_name":"compact neural networks","score":0.8119999766349792},{"id":"https://openalex.org/keywords/edge-coloring","display_name":"edge coloring","score":0.625},{"id":"https://openalex.org/keywords/pointer-networks","display_name":"pointer networks","score":0.7950000166893005},{"id":"https://openalex.org/keywords/evolution-strategies","display_name":"evolution strategies","score":0.9120000004768372},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"combinatorial optimization","score":0.8420000076293945},{"id":"https://openalex.org/keywords/mobile-robotics","display_name":"mobile robotics","score":0.7839999794960022}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8545640707015991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6548595428466797},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6503080725669861},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5258979201316833},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.508328378200531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5061151385307312},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46949103474617004},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4189457595348358},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3422161638736725},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18373805284500122},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1792396605014801}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2957460253","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1907.06511.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:2957460253","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1907.06511.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1973089001","https://openalex.org/W2033403400","https://openalex.org/W2095705004","https://openalex.org/W2096764219","https://openalex.org/W2111935653","https://openalex.org/W2114766824","https://openalex.org/W2119717200","https://openalex.org/W2129070834","https://openalex.org/W2134273960","https://openalex.org/W2172166488","https://openalex.org/W2182629226","https://openalex.org/W2460130460","https://openalex.org/W2507756961","https://openalex.org/W2553303224","https://openalex.org/W2596367596","https://openalex.org/W2608554408","https://openalex.org/W2771655537","https://openalex.org/W2789525339","https://openalex.org/W2796248693","https://openalex.org/W2885311373","https://openalex.org/W2890326782","https://openalex.org/W2899496413","https://openalex.org/W2947644971","https://openalex.org/W2948130861","https://openalex.org/W2953319219","https://openalex.org/W2962699241","https://openalex.org/W2962746461","https://openalex.org/W2963674932","https://openalex.org/W2963813662","https://openalex.org/W2964299589","https://openalex.org/W2981985696"],"related_works":["https://openalex.org/W3009352231","https://openalex.org/W3125549746","https://openalex.org/W7165848467","https://openalex.org/W4408682134","https://openalex.org/W3004810722","https://openalex.org/W4383097626","https://openalex.org/W2756085244","https://openalex.org/W4401417407","https://openalex.org/W2796248693","https://openalex.org/W4226367179"],"abstract_inverted_index":{"We":[0,91],"present":[1],"a":[2,103],"new":[3],"algorithm":[4],"for":[5,111],"finding":[6],"compact":[7,86],"neural":[8,109],"networks":[9,27],"encoding\nreinforcement":[10],"learning":[11],"(RL)":[12],"policies.":[13],"To":[14],"do":[15],"it,":[16],"we":[17,66],"leverage":[18],"in":[19,119],"the":[20,23,48,53,54,99],"novel":[21],"RL\nsetting":[22],"theory":[24],"of":[25,33,56,98,116],"pointer":[26],"and":[28,44,124],"ENAS-type":[29],"algorithms":[30],"for\ncombinatorial":[31],"optimization":[32,42],"RL":[34,64,112],"policies":[35,73],"as":[36,38,76,78],"well":[37],"recent":[39],"evolution\nstrategies":[40],"(ES)":[41],"methods,":[43],"propose":[45,102],"to":[46,51,68,71,101,106],"define":[47],"combinatorial\nsearch":[49],"space":[50],"be":[52],"set":[55],"different":[57],"edge-partitionings":[58],"(colorings)":[59],"into\nsame-weight":[60],"classes.":[61],"For":[62],"several":[63],"tasks,":[65],"manage":[67],"learn":[69],"colorings\ntranslating":[70],"effective":[72],"parameterized":[74],"by":[75],"few":[77],"17":[79],"weight\nparameters,":[80],"providing":[81],"6x":[82],"compression":[83],"over":[84],"state-of-the-art":[85],"policies\nbased":[87],"on":[88],"Toeplitz":[89],"matrices.":[90],"believe":[92],"that":[93,114],"our":[94],"work":[95],"is":[96],"one":[97],"first\nattempts":[100],"rigorous":[104],"approach":[105],"training":[107],"structured":[108],"network\narchitectures":[110],"problems":[113],"are":[115],"interest":[117],"especially":[118],"mobile\nrobotics":[120],"with":[121],"limited":[122],"storage":[123],"computational":[125],"resources.":[126]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-07-23T00:00:00"}