{"id":"https://openalex.org/W7134844804","doi":"https://doi.org/10.48550/arxiv.2603.08588","title":"Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control","display_name":"Towards Batch-to-Streaming Deep Reinforcement Learning for Continuous Control","publication_year":2026,"publication_date":"2026-03-09","ids":{"openalex":"https://openalex.org/W7134844804","doi":"https://doi.org/10.48550/arxiv.2603.08588"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.08588","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114319999","display_name":"Riccardo De Monte","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"De Monte, Riccardo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094255460","display_name":"Matteo Cederle","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cederle, Matteo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5026617079","display_name":"Gian Antonio Susto","orcid":"https://orcid.org/0000-0001-5739-9639"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Susto, Gian Antonio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29154302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.5662999749183655,"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":0.5662999749183655,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.10209999978542328,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.031099999323487282,"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":0.7666000127792358},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6453999876976013},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4636000096797943},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43529999256134033},{"id":"https://openalex.org/keywords/batch-processing","display_name":"Batch processing","score":0.3294999897480011},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.304500013589859}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8278999924659729},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7666000127792358},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6453999876976013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5266000032424927},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4636000096797943},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43529999256134033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3774000108242035},{"id":"https://openalex.org/C172658912","wikidata":"https://www.wikidata.org/wiki/Q661613","display_name":"Batch processing","level":2,"score":0.3294999897480011},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2768999934196472}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.08588","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.08588","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.08588","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.08588","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"State-of-the-art":[0],"deep":[1,44,68],"reinforcement":[2],"learning":[3],"(RL)":[4],"methods":[5],"have":[6],"achieved":[7],"remarkable":[8],"performance":[9,56,105],"in":[10],"continuous":[11],"control":[12],"tasks,":[13],"yet":[14],"their":[15,29],"computational":[16],"complexity":[17],"is":[18],"often":[19],"incompatible":[20],"with":[21,85],"the":[22,123],"constraints":[23],"of":[24,42,135],"resource-limited":[25],"hardware,":[26],"due":[27],"to":[28,82,107,144],"reliance":[30],"on":[31,57,111],"replay":[32],"buffers,":[33],"batch":[34,87],"updates,":[35,52],"and":[36,75,139],"target":[37],"networks.":[38],"The":[39],"emerging":[40],"paradigm":[41],"streaming":[43,67,109],"RL":[45,69,88],"addresses":[46],"this":[47,61,146],"limitation":[48],"through":[49],"purely":[50],"online":[51],"achieving":[53],"strong":[54],"empirical":[55],"standard":[58,112],"benchmarks.":[59],"In":[60],"work,":[62],"we":[63],"propose":[64,140],"two":[65],"novel":[66],"algorithms,":[70],"Streaming":[71,76],"Soft":[72],"Actor-Critic":[73,78],"(S2AC)":[74],"Deterministic":[77],"(SDAC),":[79],"explicitly":[80],"designed":[81],"be":[83],"compatible":[84],"state-of-the-art":[86,108],"methods,":[89],"making":[90],"them":[91],"particularly":[92],"suitable":[93],"for":[94],"on-device":[95],"finetuning":[96],"applications":[97],"such":[98],"as":[99],"Sim2Real":[100],"transfer.":[101],"Both":[102],"algorithms":[103],"achieve":[104],"comparable":[106],"baselines":[110],"benchmarks":[113],"without":[114],"requiring":[115],"tedious":[116],"per-environment":[117],"hyperparameter":[118],"tuning.":[119],"We":[120],"further":[121],"investigate":[122],"batch-to-streaming":[124],"transition,":[125],"showing":[126],"that":[127],"a":[128,141],"naive":[129],"transition":[130],"does":[131],"not":[132],"guarantee":[133],"preservation":[134],"pre-trained":[136],"policy":[137],"performance,":[138],"principled":[142],"approach":[143],"address":[145],"challenge.":[147]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-03-11T00:00:00"}
