Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning

Bibtex entry :

@techreport { blonde:arxiv2022,
    title = { Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning },
    author = { Lionel Blondé and Alexandros Kalousis and Stéphane Marchand-Maillet },
    year = { 2022 },
    eprint = { 2107.01407 },
    volume = { abs/2107.01407 },
    journal = { CoRR },
    archiveprefix = { arXiv },
    url = { https://arxiv.org/abs/2107.01407 },
    primaryclass = { cs.LG },
}
--

Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion