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Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations

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Abstract

Sufficient conditions for the existence and uniqueness of smooth optimal decision strategies for static team optimization problems with statistical information structure are derived. Approximation methods and algorithms to derive suboptimal solutions based on the obtained results are investigated. The application to network team optimization problems is discussed.

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Gnecco, G., Sanguineti, M. (2010). Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations. In: van Leeuwen, J., Muscholl, A., Peleg, D., Pokorný, J., Rumpe, B. (eds) SOFSEM 2010: Theory and Practice of Computer Science. SOFSEM 2010. Lecture Notes in Computer Science, vol 5901. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11266-9_37

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  • DOI: https://doi.org/10.1007/978-3-642-11266-9_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11265-2

  • Online ISBN: 978-3-642-11266-9

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