My name is Robby Costales and I am a computer science PhD student at the University of Southern California advised by Fei Sha and Professor Maja Matarić. My interests broadly lie in scaling reinforcement learning algorithms to real-world environments, with the long-term aim of training generally capable AI systems.
Previously, I was a student researcher at Google Brain where I was advised by Izzeddin Gür, and an undergraduate at Columbia University, where I was advised by Professor Junfeng Yang.
- Sep 2022 - Paper on multi-agent learning in composite tasks (ALMA) accepted at NeurIPS 2022
- May 2022 - In Mountain View for the summer working at Google Brain as a student researcher
- Feb 2022 - Paper on hierarchical affordances (HAL) accepted as spotlight at ICLR 2022
- Aug 2021 - I finally moved to Los Angeles!
- Aug 2020 - Started my PhD in computer science at the University of Southern California
- May 2020 - Graduated with bachelor’s in computer science from Columbia and Simon’s Rock
- May 2020 - Paper on live DNN trojan attacks presented at CVPR 2020 AdvML Workshop
- Jun 2019 - Working at Capital One as a data engineering summer intern
- Aug 2018 - Transferred to Columbia University‘s Fu Foundation School of Engineering
- Jun 2018 - At WUSTL working with Alvitta Ottley for CSE REU
- Jun 2017 - At University of Miami working with Vance Lemmon for CfS REU
- Dec 2016 - Learned about “for” loops in Intro to Computer Science :o
- Aug 2015 - Started college at Bard College at Simon’s Rock