Deirdre Quillen

email: deirdrequillen at berkeley dot edu

CV  /  Google Scholar  /  pre grad school climbing days

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Research

I'm a EECS PhD student at UC Berkeley. I work on robotics, machine learning and control.

Publications

  • Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
    Tianhe Yu*, Deirdre Quillen*, Zhanpeng He*, Ryan Julian, Karol Hausman, Chelsea Finn, Sergey Levine

  • Efficient off-policy meta-reinforcement learning via probabilistic context variables
    K Rakelly*, A Zhou*, D Quillen, C Finn, S Levine

  • Qt-opt: Scalable deep reinforcement learning for vision-based robotic manipulation
    Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine

  • Deep reinforcement learning for vision-based robotic grasping: A simulated comparative evaluation of off-policy methods
    Deirdre Quillen*, Eric Jang*, Ofir Nachum*, Chelsea Finn, Julian Ibarz, Sergey Levine

  • Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
    Sergey Levine, Peter Pastor, Alex Krizhevsky, Julian Ibarz, Deirdre Quillen
  • Teaching

    Graduate Student Instructor, INDENG 135 Spring 2020

    Design and source code from Jon Barron's website