Saeed Hedayatian

Computer Science at University of Southern California

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Thomas Lord Department of Computer Science

Univeristy of Southern California

Los Angeles, California

I am a PhD student in Computer Science at the University of Southern California. I am broadly interested in sequential decision-making problems. I actively look for sources of inspiration in adjacent fields like generative modeling and quality-diversity optimization and explore various applications to open-ended learning, multi-agent systems, and meta-learning.

I am advised by Prof. Stefanos Nikolaidis and am part of the ICAROS lab at USC.

Prior to starting my PhD, I got my bachelor’s degree in Computer Science from Sharif University of Technology, Iran.

Research Interests:

  • Reinforcement Learning
  • Quality-Diversity Optimization
  • Generative Modeling
  • Open-ended Learning

Outside of research, I enjoy reading of all sorts, from philosophy to psychoanalysis to physics! I’m also an amateur cinephile, check out my letterboxd!

Latest Posts

Mar 07, 2023 Variational Inference
Feb 19, 2023 In Praise of Einsum
Sep 29, 2022 MAP-Elites

Selected Publications

  1. Seyed Roozbeh Razavi Rohani, Saeed Hedayatian, and Mahdieh Soleymani Baghshah
    In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022