My name is Robby Costales and I conduct research on artificial intelligence (AI), with the long-term aim of developing generally capable AI systems for the benefit of humanity and other sentient creatures. I am a computer science PhD student at the University of Southern California, advised by Prof. Stefanos Nikolaidis of the ICAROS lab.
My research focuses on improving reinforcement learning agents’ abilities to generalize and adapt over complex task distributions by introducing various structural inductive biases, with the aim of reducing the need for significant human supervision on which current AI methods heavily rely.
University of Southern California (Viterbi School of Engineering)
Doctorate in Computer Science (present)
Google Research (Brain Team)
Student Researcher (2022)
Columbia University (Fu Foundation School of Engineering)
B.S. in Computer Science - Intelligent Systems (2020)
Bard College at Simon's Rock
A.A. (2017) and B.A. in Computer Science (2020)
A hierarchical reinforcement learning (HRL) approach that learns a model of affordances to proune impossible subtasks for more effective learning.