Sayer: Using Implicit Feedback to Optimize System Policies

Lécuyer, Mathias, Kim, Sang Hoon, Nanavati, Mihir, Jiang, Junchen, Sen, Siddhartha, Sharma, Amit, Slivkins, Aleksandrs

Oct-28-2021–arXiv.org Machine Learning

We observe that many system policies that make threshold decisions involving a resource (e.g., time, memory, cores) naturally reveal additional, or implicit feedback. For example, if a system waits X min for an event to occur, then it automatically learns what would have happened if it waited

implicit feedback, machine learning, reinforcement learning, (20 more...)

arXiv.org Machine Learning

Oct-28-2021

arXiv.org PDF

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Technology:
- Information Technology
  - Artificial Intelligence > Machine Learning
    - Reinforcement Learning (0.88)
  - Data Science > Data Mining
    - Big Data (0.67)