First Page | Meta Content | |
---|---|---|
![]() | Document Date: 2013-09-13 16:46:54Open Document File Size: 228,62 KBShare Result on FacebookCityNew York / /CompanyOxford University Press / Google AdSense / Princeton University Press / Amazon / Cambridge University Press / MIT Press / Life Support Systems / Yahoo! Publisher Network / Microsoft pubCenter / Russell / YouTube / Facebook / John Wiley & Sons / /CountryUnited States / /CurrencyUSD / / /IndustryTermparticular web layouts / simulated ad network / web settings / ad network / discounts on products / ad networks / binary search / polynomial time algorithm / publishers / advertising revenue / fragile solution / e - commerce / frequent purchases and write product / elicitation algorithm / web domains / /MarketIndexset 20 / /OrganizationCambridge University / USA School of Engineering and Applied Sciences Harvard University Cambridge / MIT / Princeton University / Policy Teaching Through Reward Function Learning∗ Haoqi Zhang David C. Parkes Yiling Chen School of Engineering and Applied Sciences Harvard University Cambridge / Oxford University / Stanford / /PersonAlgorithmic Game / Jerry Green / Avi Pfeffer / David C. Parkes Yiling / Michael Mitzenmacher / / /Positionsurfer / editor / RT RT / RT / first author / decision model for the policy teaching problem / editor / The Encyclopedia / General / /ProvinceOrStateNew York / California / /PublishedMediumJournal of the ACM / Review of Economic Studies / Pacific Journal of Mathematics / Machine Learning / /TechnologyRAM / elicitation algorithm / artificial intelligence / polynomial time algorithm / JAVA / peer-to-peer / Machine Learning / 2.4Ghz processor / Terms Algorithms / /URLhttp /SocialTag |