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Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations Timothy A. Mann MANN @ EE . TECHNION . AC . IL Shie Mannor SHIE @ EE . TECHNION . AC . IL
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Document Date: 2014-02-16 19:30:21


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City

San Fransisco / Haifa / Beijing / New York / Edinburgh / /

Company

Neural Information Processing Systems / /

Country

United States / China / Israel / /

Facility

Israel Institute of Technology / /

Holiday

Assumption / /

IndustryTerm

worse solution / supervised learning algorithm / tree-based search methods / tree-based search / learning algorithms / /

Organization

office of Naval Research / IL Department of Electrical Engineering / Israel Institute of Technology / Technion / /

Person

Timothy A. Mann / Leslie P. Approximate / Leslie Pack / /

Position

author / candidate for investigating planning with temporally extended actions / Rt / Research Counsel / Dean / /

ProgrammingLanguage

V / R / /

ProvinceOrState

New York / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / Journal of Artificial Intelligence Research / /

Technology

generalized FVI algorithm / generalized algorithm / proposed algorithm / AVI / supervised learning algorithm / planning algorithm / Machine Learning / FVI algorithm / two algorithms / /

URL

http /

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