Now showing items 1-5 of 5

    • Designing an Incentive-compatible Reward Scheme for Algorand 

      Liao, Maizi (University of Waterloo, 2022-06-21)
      Founded in 2017, Algorand is the first carbon-negative blockchain protocol inspired by proof of stake. Algorand uses a Byzantine agreement protocol to add new blocks to the blockchain. The protocol can tolerate malicious ...
    • Fair and Efficient Resource Scheduling in Heterogeneous Multi-Agent Systems 

      Omidi, Mohammadhadi (University of Waterloo, 2024-02-22)
      The performance of machine-learning applications heavily relies on the choice of the underlying hardware architecture, encompassing factors such as computational power, scalability, memory, and storage capabilities. These ...
    • Fairness Notions on Hardware Resource Configuration 

      Vellora Vayalapra, Aravind (University of Waterloo, 2023-10-26)
      To meet performance and energy efficiency demand of modern workloads, specialized hardware accelerators implemented on FPGAs or ASICs have found adoption in modern servers and Systems-on-Chip (SoC). These hardware accelerators ...
    • Multi-Agent Reinforcement Learning in Large Complex Environments 

      Ganapathi Subramanian, Sriram (University of Waterloo, 2022-07-15)
      Multi-agent reinforcement learning (MARL) has seen much success in the past decade. However, these methods are yet to find wide application in large-scale real world problems due to two important reasons. First, MARL ...
    • Stackelberg Multi-Agent Reinforcement Learning for Hierarchical Environments 

      Pereira, Sahil (University of Waterloo, 2020-05-14)
      This thesis explores the application of multi-agent reinforcement learning in domains containing asymmetries between agents, caused by differences in information and position, resulting in a hierarchy of leaders and ...

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