Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation

DOI10.1016/j.neunet.2014.06.006zbMath1325.68200arXiv1307.5118OpenAlexW2041851440WikidataQ39164602 ScholiaQ39164602MaRDI QIDQ889297

Syogo Mori, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama, Tingting Zhao

Publication date: 6 November 2015

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1307.5118

zbMATH Keywords

reinforcement learningconditional density estimationtransition model estimation

Mathematics Subject Classification ID

Density estimation (62G07) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Model-based reinforcement learning with dimension reduction

Uses Software

• PILCO

Cites Work

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