View Document Preview and Link
Document Date: 2014-06-23 05:46:32 Open Document File Size: 771,58 KB Share Result on Facebook
City Discussion Model / / Company Neural Information Processing Systems / Bayesian Networks / Monte Carlo / modeled using Bayesian Networks / / Country China / / / Facility Wiley Online Library / Massachusetts Institute of Technology / University of Massachusetts Amherst / / IndustryTerm forward-search planning algorithm / online forward-search planning scheme / sample-based search / tree search / epoch-greedy algorithm / crude oil / contextual bandit algorithms / forward-search / search horizon / policy search / Online Library / natural gas / fine solution / oil exploration problem / search horizonRoss andand / Sample-based forwardsearch planning algorithms / search tree / search treeThus / oil / approximate solutions / on-line reward optimization / conventional algorithms / search efficiency / using sample-based search / / Organization Australian Mathematical Society / University of Massachusetts Amherst / Rich Models Arthur Guez Gatsby Unit / Peter Dayan Gatsby Unit / Massachusetts Institute of Technology / / Person Gill Spacing Cap Shape Stalk / Peter Dayan / Van Roy / David Silver / / Position myopic planner / associated Bayesian non-parametric model for it / rt / Bayes-Adaptive planner / / ProvinceOrState D / Massachusetts / / PublishedMedium Machine Learning / Journal of Artificial Intelligence Research / / Technology Alpha / BAMCP algorithm / thesupplementary BAMCP algorithm / artificial intelligence / forward-search planning algorithm / existing conventional algorithms / PSRL algorithm / GPS / forward-search / sample-based Bayes-adaptive planning algorithm / planning algorithm / Sample-based forwardsearch planning algorithms / contextual bandit algorithms / machine learning / existing planning algorithms / BOSS algorithm / simulation / epoch-greedy algorithm / α−UCB algorithm / / URL http / SocialTag