Jonathan Zamora

I am a first-generation 🇲🇽 undergraduate student at UC San Diego pursuing a BS in Computer Science, and I am graduating in June 2023.

I am advised by Prof. Xiaolong Wang, and I am interested in deep reinforcement learning, robotics, computer vision, and self-supervised learning to build intelligent agents capable of generalization, long-horizon planning, and continual adaptation in diverse and complex environments.

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

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 Project Page Video Code Bib

@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},
}

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 Code Bib

@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}
}