Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization | Zendy

Pierre Liotet | Zendy; Francesco Vidaich | Zendy; Alberto Maria Metelli | Zendy; Marcello Restelli | Zendy

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Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization

Author(s) -

Pierre Liotet,

Francesco Vidaich,

Alberto Maria Metelli,

Marcello Restelli

Publication year - 2022

Publication title -

proceedings of the aaai conference on artificial intelligence

Language(s) - English

Resource type - Journals

eISSN - 2374-3468

pISSN - 2159-5399

DOI - 10.1609/aaai.v36i7.20717

Subject(s) - computer science , overfitting , forgetting , reinforcement learning , thompson sampling , regularization (linguistics) , artificial intelligence , machine learning , feature (linguistics) , variance (accounting) , reuse , sampling (signal processing) , lifelong learning , mathematical optimization , bayesian probability , artificial neural network , mathematics , accounting , business , computer vision , psychology , ecology , pedagogy , biology , linguistics , philosophy , filter (signal processing)

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