Wednesday, February 16, 2011

NEP is an announcement service for subscribers with up-to-date information about economics research

Monitoring the monthly presentation of papers to RePEc may be of interest:

nep-afr Africa 524 Quentin Wodon, World Bank, USA

nep-agr Agricultural Economics 640 Angelo Zago, University of Verona, Italy

nep-cna China 526 Zheng Fang, Ohio State University, USA

nep-com Industrial Competition 869 Russell Pittman, US Department of Justice, USA

Cognitive & Behavioural Economics 1176 Marco Novarese, University Amedeo Avogadro, Italy

nep-cdm Collective Decision-Making 467 Roland Kirstein, Otto von Guericke University Magdeburg, Germany

nep-cul Cultural Economics 418 Roberto Zanola, University Amedeo Avogadro, Italy

nep-exp Experimental Economics 818 Daniel Houser, George Mason University, USA

nep-for Forecasting 570 Rob J Hyndman, Monash University, Australia

nep-gth Game Theory 857 Laszlo A. Koczy, Hungarian Academy of Sciences and Obuda University, Hungary

nep-his Business, Economic & Financial History [blog] 6072 Bernardo Batiz-Lazo, Bangor University, UK

nep-ict Information & Communication Technologies 641 Walter Frisch, University Vienna, Austria

nep-ino Innovation 740 Steffen Lippert, Massey University, Albany, New Zealand

nep-int International Trade [blog] 711 Alessia A. Amighini, University Amedeo Avogadro, Italia

nep-ipr Intellectual Property Rights 151 Roland Kirstein, Otto von Guericke University Magdeburg, Germany

nep-law Law & Economics 502 Mark Lee, Towson University, USA

nep-mkt Marketing 323 Joao Carlos Correia Leitao, University of Beira Interior and Technical University of Lisbon, Portugal

nep-mon Monetary Economics 1018 Bernd Hayo, Philipps-University Marburg, Germany

nep-net Network Economics 568 Yi-Nung Yang, Chung Yuan Christian University, Taiwan

nep-neu Neuroeconomics 350 Daniel Houser, George Mason University, USA

nep-ore Operations Research 368 Walter Frisch, University Vienna, Austria

nep-pke Post Keynesian Economics 413 Karl Petrick, University of the West Indies, Jamaica

nep-pol Positive Political Economics 448 Eugene Beaulieu, University of Calgary, Canada

nep-soc Social Norms & Social Capital 2705 Fabio Sabatini, Euricse, Italy

nep-sog Sociology of Economics 354 Jonas Holmström, Swedish School of Economics and Business Administration, Finland

nep-ure Urban & Real Estate Economics 546 Steve Ross, University of Connecticut, USA

Multi-dimensional, continuous, non-differentiable, nonlinear, non-Gaussian problems must be solved in real-time. Most existing techniques for stochastic planning, network analysis and reinforcement learning are therefore inapplicable due to the initial complexity of the problem statements.

One approach towards a solution employs Bayesian optimization methods that dynamically trade-off exploration (minimizing uncertainty in unknown parts of the policy space) against exploitation (capitalizing on the current maximal solution).

[Paraphrased from A Bayesian Exploration-Exploitation Approach for Optimal Online Sensing and Planning with a Visually Guided Mobile Robot

by Ruben Martinez-Cantin -]

Amplify’d from

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Last updated on 2011-02-16.

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