Jonathan Zamora

I am an MS in Computer Science student at USC, and I am graduating in May 2025.

I recently completed my undergraduate studies at UC San Diego, where I earned a BS in Computer Science in June 2023.

I am advised by Prof. Yue Wang and Prof. Daniel Seita at USC, and have worked under Prof. Xiaolong Wang at UC San Diego. I am interested in building intelligent agents capable of generalization, long-horizon planning and control, and continuous adaptation in diverse and complex environments. To this end, my research interests include deep reinforcement learning, imitation learning, robotics, computer vision, and machine learning.

Outside of research and classes, I enjoy doing leadership and outreach activities which promote Artificial Intelligence (AI) and Diversity, Equity, and Inclusion (DEI) in Science, Technology, Engineering, and Mathematics (STEM).

news

May 08, 2024	I will be applying to PhD programs in Computer Science for Fall 2025 🔥
Jun 17, 2023	Graduated from UC San Diego with a BS in Computer Science! 🎓
Feb 11, 2023	Accepted offer to attend USC for an MS in Computer Science, beginning Fall 2023! 🎉

selected publications

Graph Inverse Reinforcement Learning from Diverse Videos

Sateesh Kumar , Jonathan Zamora* , Nicklas Hansen* , and 2 more authors

Conference on Robot Learning (CoRL), 2022

(Oral, Top 6.5%)

arXiv Bib HTML Video Code

@article{kumar2022inverse,
  title = {Graph Inverse Reinforcement Learning from Diverse Videos},
  author = {Kumar, Sateesh and Zamora*, Jonathan and Hansen*, Nicklas and Jangir, Rishabh and Wang, Xiaolong},
  journal = {Conference on Robot Learning (CoRL)},
  year = {2022},
  papertype = {(Oral, Top 6.5%)}
}

Contextualized Scene Imagination for Generative Commonsense Reasoning

Peifeng Wang , Jonathan Zamora* , Junfeng Liu* , and 3 more authors

In International Conference on Learning Representations (ICLR) , 2022

arXiv Bib Code

@inproceedings{wang2022contextualized,
  title = {Contextualized Scene Imagination for Generative Commonsense Reasoning},
  author = {Wang, Peifeng and Zamora*, Jonathan and Liu*, Junfeng and Ilievski, Filip and Chen, Muhao and Ren, Xiang},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022}
}