Now showing items 283-285 of 23400

    • On the Learnability of General Reinforcement-Learning Objectives 

      Yang, Cambridge (Massachusetts Institute of Technology, 2025-05)
      Reinforcement learning enables agents to learn decision-making policies in unknown environments to achieve specified objectives. Traditionally, these objectives are expressed through reward functions, enabling well-established ...
    • Solid-State Quantum Memories for Near-Term Quantum Repeaters 

      Sutula, Madison M. (Massachusetts Institute of Technology, 2025-05)
      Over the past decade, quantum computers have emerged as a promising technology to enable transformational advances in information processing and communication and solve problems that are intractable to classical computers. ...
    • Principled Approaches for Latency Reduction in Networking Systems 

      Pit-Claudel, Benoit (Massachusetts Institute of Technology, 2025-05)
      Modern networks face unprecedented challenges due to exponential growth in traffic demands, driven by AI workloads in datacenters and the ubiquitous adoption of cloud services across the internet. This dissertation addresses ...