John Roberts

Results: 1010



#Item
611Greensboro /  Vermont / William Rehnquist / United States Constitution / Samuel Alito Supreme Court nomination / John Roberts / Supreme Court of the United States / Conservatism in the United States / Politics of the United States

28 I hope you pardon me for lowering the tenor of this esteemed proceeding for a moment, but I would, however, like to conclude on a higher note. The importance of this proceeding is illustrated by the observation of Ale

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Source URL: www.gpo.gov

Language: English - Date: 2013-10-10 12:28:59
612Coats

John Turlington – Team 1 John Bobbitt – Team 2 Ron Rowley – Team 3 Randy Roberts – Team 4

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Source URL: coatsparksandrec.com

Language: English - Date: 2014-03-06 21:43:50
    613John Roberts / Samuel Alito / Antonin Scalia / Supreme Court of Pakistan / Fourth Amendment to the United States Constitution / Conservatism in the United States / Supreme Court of the United States / United States courts of appeals

    Official ­ Subject to Final Review 1 1  IN THE SUPREME COURT OF THE UNITED STATES

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    Source URL: www.supremecourt.gov

    Language: English - Date: 2014-04-29 13:11:45
    614Systems science / Youla–Kucera parametrization / Adaptive control / Optimal control / Nonlinear control / Model predictive control / Kalman filter / Robust control / Automatic control / Control theory / Systems theory / Cybernetics

    Feedback Controller Parameterizations for Reinforcement Learning John W. Roberts Ian R. Manchester

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    Source URL: groups.csail.mit.edu

    Language: English - Date: 2011-02-22 01:10:59
    615Normal distribution / Signal-to-noise ratio / Gradient / Reinforcement learning / Multivariate normal distribution / Variance / Statistics / Mathematical analysis / Mathematics

    Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms John W. Roberts and Russ Tedrake Computer Science and Artificial Intelligence Laboratory

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    Source URL: groups.csail.mit.edu

    Language: English - Date: 2008-09-11 13:21:52
    616Charles Evans Hughes / Texas v. White / United States Constitution / Edward Douglass White / Fred M. Vinson / David Souter / Owen Roberts / Hugo Black / John Marshall Harlan / Supreme Court of the United States / Politics of the United States / United States

    VOLUME XXXIV NUMBER 1, 2012 Texas v. White Reenactment

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    Source URL: www.supremecourthistory.org

    Language: English - Date: 2013-03-12 13:29:43
    617State governments of the United States / Attorney general / Claire Levy / Ellen Roberts / United States Department of Justice / Maryland State Commission on Criminal Sentencing Policy / Oklahoma Sentencing Commission / Law / Government / John Morse

    Colorado Commission of Criminal and Juvenile Justice

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    Source URL: www.colorado.gov

    Language: English - Date: 2013-02-25 15:24:55
    618National Association for the Advancement of Colored People / Thurgood Marshall / Supreme Court of the United States / John Marshall / Clarence Thomas / Randall Kennedy / John Roberts / Conservatism in the United States / United States courts of appeals / United States federal courts

    VOLUME XXXIV NUMBER 3, 2012 Society Celebrates Thirty-Seventh Annual Meeting on June 4, 2012

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    Source URL: www.supremecourthistory.org

    Language: English - Date: 2013-03-12 13:29:42
    619Portland Public Library / Public library / Bangor Public Library / Library / Maine / Library science / Marketing

    URSUS Directors Meeting January 10, 2014, Meeting Notes Present: Tom Abbott, John Barden, Shiva Darbandi, Chris Hepler, James Jackson Sanborn, Linda Lord, Barbara McDade, David Nutty, Frank Roberts, Joyce Rumery, Steve P

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    Source URL: www.maineinfonet.org

    Language: English - Date: 2014-05-06 15:16:20
    620Oilfield terminology / Petroleum engineering / Viscosity / Signal-to-noise ratio / Navier–Stokes equations / Noise / Normal distribution / Reinforcement learning / Statistics / Measurement / Engineering

    Motor Learning at Intermediate Reynolds Number: Experiments with Policy Gradient on a Heaving Plate John W. Roberts, Jun Zhang and Russ Tedrake Abstract This work describes the development of a model-free reinforcement

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    Source URL: groups.csail.mit.edu

    Language: English - Date: 2009-08-27 12:26:43
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