{"id":"https://openalex.org/W4406553286","doi":"https://doi.org/10.1007/s11432-024-4261-1","title":"Graph reinforcement learning with relational priors for predictive power allocation","display_name":"Graph reinforcement learning with relational priors for predictive power allocation","publication_year":2025,"publication_date":"2025-01-13","ids":{"openalex":"https://openalex.org/W4406553286","doi":"https://doi.org/10.1007/s11432-024-4261-1"},"language":"en","primary_location":{"id":"doi:10.1007/s11432-024-4261-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11432-024-4261-1","pdf_url":null,"source":{"id":"https://openalex.org/S4210218743","display_name":"Science China Information Sciences","issn_l":"1674-733X","issn":["1674-733X","1869-1919"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science China Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002903652","display_name":"Jianyu Zhao","orcid":"https://orcid.org/0000-0001-8519-6177"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianyu Zhao","raw_affiliation_strings":["School of Electronics and Information Engineering, Beihang University, Beijing, 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082950698","display_name":"Chenyang Yang","orcid":"https://orcid.org/0000-0003-0058-0765"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Yang","raw_affiliation_strings":["School of Electronics and Information Engineering, Beihang University, Beijing, 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002903652"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.5686,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81223472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"68","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12546","display_name":"Smart Parking Systems Research","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7539314031600952},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.6860141754150391},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.604802668094635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5686261057853699},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5649516582489014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4313593804836273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3419186770915985},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27396273612976074},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.17506474256515503},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.06581956148147583}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7539314031600952},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.6860141754150391},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.604802668094635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5686261057853699},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5649516582489014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4313593804836273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3419186770915985},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27396273612976074},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.17506474256515503},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.06581956148147583},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11432-024-4261-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11432-024-4261-1","pdf_url":null,"source":{"id":"https://openalex.org/S4210218743","display_name":"Science China Information Sciences","issn_l":"1674-733X","issn":["1674-733X","1869-1919"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science China Information Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W2075088292","https://openalex.org/W2078576957","https://openalex.org/W2088961263","https://openalex.org/W2091169407","https://openalex.org/W2113789941","https://openalex.org/W2173248099","https://openalex.org/W2791838888","https://openalex.org/W2793609888","https://openalex.org/W2798544842","https://openalex.org/W2805516822","https://openalex.org/W2807747348","https://openalex.org/W2907492528","https://openalex.org/W2971598376","https://openalex.org/W2980574135","https://openalex.org/W3006512888","https://openalex.org/W3028612210","https://openalex.org/W3086447988","https://openalex.org/W3111499798","https://openalex.org/W3111885788","https://openalex.org/W3127116426","https://openalex.org/W3160036209","https://openalex.org/W3173386267","https://openalex.org/W3179720829","https://openalex.org/W3189854358","https://openalex.org/W3210664956","https://openalex.org/W3214426660","https://openalex.org/W4205993435","https://openalex.org/W4210573106","https://openalex.org/W4213425359","https://openalex.org/W4214717370","https://openalex.org/W4226329077","https://openalex.org/W4285287211","https://openalex.org/W4285742293","https://openalex.org/W4288777480","https://openalex.org/W4293204731","https://openalex.org/W4295700761","https://openalex.org/W4317033372","https://openalex.org/W4317419063","https://openalex.org/W4327808344","https://openalex.org/W4367032219","https://openalex.org/W4367032391","https://openalex.org/W4379618799","https://openalex.org/W4386038394","https://openalex.org/W4388290809","https://openalex.org/W4389232856","https://openalex.org/W4391407095","https://openalex.org/W4391640534","https://openalex.org/W4393378444","https://openalex.org/W4394730888","https://openalex.org/W4394841759","https://openalex.org/W6747790125"],"related_works":["https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W2580650124","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2085259108","https://openalex.org/W3123087812","https://openalex.org/W3133294580"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}