Hessian matrix distribution for Bayesian policy gradient reinforcement learning

DOI10.1016/j.ins.2011.01.001zbMath1216.68224OpenAlexW2046727971MaRDI QIDQ545311

TaeChoong Chung, Ngo Anh Vien, Hwanjo Yu

Publication date: 22 June 2011

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2011.01.001

zbMATH Keywords

Markov decision processreinforcement learningBayesian policy gradientHessian matrix distributionMonte-Carlo policy gradientpolicy gradient

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Cites Work

• A generic architecture for adaptive agents based on reinforcement learning
• Natural actor-critic algorithms
• Bayes-Hermite quadrature
• Fuzzy control rules extraction from perception-based information using computing with words
• Adaptive evolutionary programming based on reinforcement learning
• Adaptive stock trading with dynamic asset allocation using reinforcement learning
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