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Subject: Online Learning Departments: Department of Computing Science Item type: Thesis Languages: English Collections: Graduate and Postdoctoral Studies (GPS), Faculty of Collections: Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations Supervisors: Bowling, Michael (Computing Science)

  • Adaptive Monte Carlo Integration

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    Spring 2016

    Neufeld, James, P

    Monte Carlo methods are a simple, effective, and widely deployed way of approximating integrals that prove too challenging for deterministic approaches. This thesis presents a number of contributions to the field of adaptive Monte Carlo methods. That is, approaches that automatically adjust the...

  • Using Regret Estimation to Solve Games Compactly

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    Spring 2016

    Morrill, Dustin R

    Game theoretic solution concepts, such as Nash equilibrium strategies that are optimal against worst case opponents, provide guidance in finding desirable autonomous agent behaviour. In particular, we wish to approximate solutions to complex, dynamic tasks, such as negotiation or bidding in...

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