Intelligent Robot Learning Laboratory (IRL Lab) Amanda L. Zulas

CONTACT INFORMATION:
Amanda L. Zulas, PhD
MS in Computer Science, Spring 2017
Email: alzulas@wsu.edu
Links: Personal Website


Thesis: Modifying Smart Home to Smart Phone Notifications using Reinforcement Learning Algorithms

ABSTRACT: Given the number of applications available on today’s devices, the sheer volume of smartphone notifications can already be overwhelming. This burden will only get worse with the exploding popularity of the Internet of Things (IoT), where each IoT device sends its own set of notifications to a user’s phone. The WSU Solar Smart Home looks to relieve some of that burden by modifying notifications using reinforcement learning. A user gives feedback to the system, and the system modifies which notifications the user sees and when. This study investigates a new set of learning algorithms, Strategy-Aware Bayesian Learning (SABL) and Inferring Strategy-Aware Bayesian Learning (I-SABL) to test their efficacy in assisting with notification selection. This research suggests that while SABL and I-SABL show promise for some users, there may not be a singular algorithm that can properly learn all possible users needs.

News

Publications

2017

  • Leah A. Zulas, Kaitlyn I. Franz, Darrin Griechen, and Matthew E. Taylor. Solar Decathlon Competition: Towards a Solar-Powered Smart Home. In Proceedings of the AI for Smart Grids and Buildings Workshop (at AAAI), February 2017.
    [BibTeX] [Abstract] [Download PDF]

    Alternative energy is becoming a growing source of power in the United States, including wind, hydroelectric and solar. The Solar Decathlon is a competition run by the US Department of Energy every two years. Washington State University (WSU) is one of twenty teams recently selected to compete in the fall 2017 challenge. A central part to WSU’s entry is incorporating new and existing smart home technology from the grZound up. The smart home can help to optimize energy loads, battery life and general comfort of the user in the home. This paper discusses the high-level goals of the project, hardware selected, build strategy and anticipated approach.

    @inproceedings{2017AAAI-Solar-Zulas,
    author={Zulas, A. Leah and Franz, Kaitlyn I. and Griechen, Darrin and Taylor, Matthew E.},
    title={{Solar Decathlon Competition: Towards a Solar-Powered Smart Home}},
    booktitle={{Proceedings of the AI for Smart Grids and Buildings Workshop (at {AAAI})}},
    month={February},
    year={2017},
    bib2html_pubtype={Refereed Workshop or Symposium},
    abstract={Alternative energy is becoming a growing source of power in the United States, including wind, hydroelectric and solar. The Solar Decathlon is a competition run by the US Department of Energy every two years. Washington State University (WSU) is one of twenty teams recently selected to compete in the fall 2017 challenge. A central part to WSU’s entry is incorporating new and existing smart home technology from the grZound up. The smart home can help to optimize energy loads, battery life and general comfort of the user in the home. This paper discusses the high-level goals of the project, hardware selected, build strategy and anticipated approach.}
    }