Now showing items 1-2 of 2

    • Optimizing Distributed Systems using Machine Learning 

      Cano, Ignacio Agustin
      Distributed systems consist of many components that interact with each other to perform certain task(s). Traditionally, many of these systems base their decisions on sets of rules or configurations defined by operators as ...
    • Perspectives on Policy Learning 

      Ainsworth, Samuel Kenneth
      Sequential decision making, especially in the face of uncertainty, is a central challenge in our quest to build increasingly safe, capable, and (seemingly-)intelligent autonomous systems. Whereas supervised learning is ...