h1

h2

h3

h4

h5
h6
001020093 001__ 1020093
001020093 005__ 20251119193558.0
001020093 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-105010236928
001020093 037__ $$aRWTH-2025-08771
001020093 041__ $$aEnglish
001020093 1001_ $$0P:(DE-82)IDM06342$$aFrauenknecht, Bernd$$b0$$eCorresponding author$$urwth
001020093 1112_ $$a13. International Conference on Learning Representations$$cSingapore$$d2025-04-24 - 2025-04-28$$gICRL 2025$$wSingapore
001020093 245__ $$aOn Rollouts in Model-based Reinforcement Learning$$honline
001020093 260__ $$c2025
001020093 29510 $$aThe Thirteenth International Conference on Learning Representations : ICLR 2025
001020093 300__ $$a1-26
001020093 3367_ $$033$$2EndNote$$aConference Paper
001020093 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib
001020093 3367_ $$2BibTeX$$aINPROCEEDINGS
001020093 3367_ $$2DRIVER$$aconferenceObject
001020093 3367_ $$2DataCite$$aOutput Types/Conference Paper
001020093 3367_ $$2ORCID$$aCONFERENCE_PAPER
001020093 536__ $$0G:(DE-82)EXS-SF-OPSF854$$aOPSF854 - Mathematical and Practical Properties of Policy-Based Reinforcement Learning (EXS-SF-OPSF854)$$cEXS-SF-OPSF854$$x0
001020093 536__ $$0G:(DE-82)EXS-SF$$aERS Seed Fund - Exploratory Research Space: Seed Fund (2) als Anschubfinanzierung zur Erforschung neuer interdisziplinärer Ideen (EXS-SF)$$cEXS-SF$$x1
001020093 536__ $$0G:(DE-82)EXS$$aEXS - Excellence Strategy (EXS)$$cEXS$$x2
001020093 591__ $$aGermany
001020093 7001_ $$0P:(DE-82)IDM06973$$aSubhasish, Devdutt$$b1$$eCorresponding author$$urwth
001020093 7001_ $$0P:(DE-82)IDM05231$$aSolowjow, Friedrich$$b2$$eCorresponding author$$urwth
001020093 7001_ $$0P:(DE-82)IDM03985$$aTrimpe, Johann Sebastian$$b3$$eCorresponding author$$urwth
001020093 7870_ $$0RWTH-2025-02363$$iRelatedTo
001020093 8564_ $$uhttps://proceedings.iclr.cc/paper_files/paper/2025/file/be7a642a92de108a57e4d50866144d73-Paper-Conference.pdf$$yFulltext
001020093 8564_ $$uhttps://publications.rwth-aachen.de/record/1020093/files/1020093.pdf$$yRestricted
001020093 909CO $$ooai:publications.rwth-aachen.de:1020093$$pVDB
001020093 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001020093 915__ $$0LIC:(DE-HGF)PublisherOA$$2HGFVOC$$aFree to read
001020093 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
001020093 9141_ $$y2025
001020093 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM06342$$aRWTH Aachen$$b0$$kRWTH
001020093 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM06973$$aRWTH Aachen$$b1$$kRWTH
001020093 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM05231$$aRWTH Aachen$$b2$$kRWTH
001020093 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM03985$$aRWTH Aachen$$b3$$kRWTH
001020093 9201_ $$0I:(DE-82)422610_20200514$$k422610$$lLehrstuhl für Data Science im Maschinenbau$$x0
001020093 961__ $$c2025-10-20T09:30:32.055432$$x2025-10-20T09:30:32.055432$$z2025-10-22
001020093 980__ $$aI:(DE-82)422610_20200514
001020093 980__ $$aUNRESTRICTED
001020093 980__ $$aVDB
001020093 980__ $$acontrib