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  • PhD Defense - Nitin Kamra

    Mon, May 10, 2021 @ 10:30 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    University Calendar

    PhD Candidate: Nitin Kamra

    Committee: Prof. Yan Liu (chair), Prof. Bistra Dilkina, Prof. Ashutosh Nayyar

    Date: 10th May, 2021
    Time: 10:30am-12:00pm

    Zoom: https://usc.zoom.us/j/96990524233?pwd=M3BzcTdOenZtRjlkN1J5dmxDQmVpUT09

    Meeting ID: 969 9052 4233
    Passcode: 015551

    Title: Machine Learning in Interacting Multi-agent Systems


    Making predictions and learning optimal behavioral strategies are important problems in many domains such as traffic prediction, pedestrian tracking, financial investments and security systems. These systems often consist of multiple agents interacting with each other in complex ways, which makes both the above tasks very challenging. In this thesis, I propose methods to advance the state-of-the-art for such multi-agent learning problems. The first part of my talk focuses on trajectory prediction and I will present a relational model involving a fuzzy decision making attention mechanism for multi-agent trajectory prediction. Our approach shows significant performance gains over many existing state-of-the-art predictive models in diverse domains such as human crowds, US freeway traffic and various physics datasets. The second part of my talk focuses on placing multiple resources to protect and cover geographical spaces. We propose the Coverage Gradient Theorem and a spatial discretization based framework to improve existing benchmarks for spatial coverage domains. The third part of the talk focuses on computing nash equilibrium strategies in spatial security games with continuous action spaces. We present our model-free learning algorithm, OptGradFP, and our model-based learning algorithm, DeepFP, which search for the optimal defender strategy in a parameterized continuous search space. These algorithms scale to large domains and compute strategies robust to adversarial exploitation. Finally, we combine the Coverage Gradient framework with DeepFP to show improved performance on spatial coverage security domains.

    WebCast Link: https://usc.zoom.us/j/96990524233?pwd=M3BzcTdOenZtRjlkN1J5dmxDQmVpUT09

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon


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