@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00990525v1> a dcat:Dataset ;
    dct:description """
              We consider LSTD($\\lambda$), the least-squares temporal-difference algorithm with eligibility traces algorithm proposed by Boyan (2002). It computes a linear approximation of the value function of a fixed policy in a large Markov Decision Process. Under a $\\beta$-mixing assumption, we derive, for any value of $\\lambda \\in (0,1)$, a high-probability estimate of the rate of convergence of this algorithm to its limit. We deduce a high-probability bound on the error of this algorithm, that extends (and slightly improves) that derived by Lazaric et al. (2012) in the specific case where $\\lambda=0$. In particular, our analysis sheds some light on the choice of $\\lambda$ with respect to the quality of the chosen linear space and the number of samples, that complies with simulations.
            """ ;
    dct:identifier "hal-00990525" ;
    dct:issued "2026-05-05T11:23:07.264472"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-05T11:23:07.264477"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Rate of Convergence and Error Bounds for LSTD($\\lambda$)" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00990525v1/resource/7e4274b5-d723-4198-8498-e7828dbb1106> ;
    dcat:keyword "infoeu-reposemanticsreport",
        "infoinfo-aicomputer-science-csartificial-intelligence-csai",
        "infoinfo-lgcomputer-science-csmachine-learning-cslg",
        "mathmath-ocmathematics-mathoptimization-and-control-mathoc",
        "mathmath-stmathematics-mathstatistics-mathst",
        "reports",
        "statmlstatistics-statmachine-learning-statml",
        "statthstatistics-statstatistics-theory-statth" ;
    dcat:landingPage <https://inria.hal.science/hal-00990525> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00990525v1/resource/7e4274b5-d723-4198-8498-e7828dbb1106> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-05T11:23:07.268908"^^xsd:dateTime ;
    dct:modified "2026-05-05T11:23:07.255279"^^xsd:dateTime ;
    dct:title "Rate of Convergence and Error Bounds for LSTD($\\lambda$)" ;
    dcat:accessURL <https://inria.hal.science/hal-00990525> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .

<https://inria.hal.science/hal-00990525> a foaf:Document .