Reinforcement Learning, Dynamic Programming COSC 878 Doctoral Seminar Georgetown University Presenters: Tavish Vaidya, Yuankai Zhang Jan 20, 2014.
Lirong Xia Probabilistic reasoning over time Tue, March 25, 2014.
© 2000 Barton P. MillerSeptember 6, 2000DynInst Security Playing Inside the Blackbox: Using Dynamic Instrumentation to Create Security Holes Barton P.
Topic 3: Interdependent values Introductory stuff: –a newspaper article –experiment of the winner’s curse Definition of model Analysis of revenue for the.
A Graph Search Algorithm for Optimal Control of Hybrid Systems Olaf Stursberg University of Dortmund Germany Work financially supported by the European.
Decision-Theoretic Planning with Asynchronous Events Håkan L. S. Younes Carnegie Mellon University.
Learning about Agricultural Microinsurance from randomized control trials Ruth Vargas Hill Senior Research Fellow, IFPRI.
Debugging Types of errors –Syntax (grammatical and spelling errors) –Logic or run-time (when the program runs) –Management (i.e. Failure to upload the.
Prospect Theory Khurshid Ahmad, Chair of Computer Science Trinity College, Dublin, IRELAND 13-15 th Feb 2013.
Preference Elicitation in Combinatorial Auctions: An Overview Tuomas Sandholm [For an overview, see review article by Sandholm & Boutilier in the textbook.
Importing text files in an MS Excel spreadsheet Wim Buysse – ICRAF-ILRI Research Methods Group August 2004 Research Methods Group.
Incremental Pruning: A simple, Fast, Exact Method for Partially Observable Markov Decision Processes Anthony Cassandra Computer Science Dept. Brown University.
