Graduate Theses: Recent submissions

Now showing items 37-39 of 35710

    • Strategizing against online learners in normal form repeated games 

      Assos, Angelos (Massachusetts Institute of Technology, 2025-02)
      With the advent of machine learning and AI, learning algorithms are becoming more and more prevalent in online learning settings, where sequential decision-making is required. In such settings, the decisions of each agent ...

    • Enabling Semantically Grounded, Long Horizon Planning and Execution for Autonomous Agents 

      Covarrubias, Lucian (Massachusetts Institute of Technology, 2025-02)
      Robots have been playing an ever increasing role in complex environments, often in coordination with teams of systems or humans. Autonomous systems of the future will need to be tightly grounded in the real world, drawing ...

    • Transformers as Empirical Bayes Estimators The Poisson Model 

      Jabbour, Mark (Massachusetts Institute of Technology, 2025-02)
      We study the ability of transformers to perform In Context Learning (ICL) in the setting of Empirical Bayes for the Poison Model. On the theoretical side, we demonstrate the expressibility of transformers by formulating a ...