Anh-Quan Pham

Welcome to my website. Please feel free to read more about me, or you can check out my CV, projects, or contact me.

I am a second-year master's student in Robotics at the GRASP Lab, University of Pennsylvania. My research centers on reinforcement learning (RL) as the foundation of Physical AI. I am fortunate to be advised by Professors Dinesh Jayaraman, Eric Eaton, and Kostas Daniilidis, and to collaborate closely with Professors Jorge Méndez-Méndez, Dani S. Bassett, and Osbert Bastani. Before that, I studied interpretable reinforcement learning at the A*STAR Institute for Infocomm Research Singapore under Dr. Senthilnath Jayavelu. During my 2.5 (on-site) undergrad years at VinUniversity, I applied RL to next-generation telecommunication networks under Professor Van‑Dinh Nguyen, exploring resource allocation and network slicing.

Selected Work

Iterative Compositional Data Generation for Robot Control

Anh-Quan Pham, Marcel Hussing, Shubhankar P. Patankar, Dani S. Bassett, Jorge Mendez-Mendez, Eric Eaton

Under Review

arXivCodeXBluesky

Automatic Generation of Interaction-Ready Articulated Objects

Sagnik Anupam^§, Luyang Hu^§, Anh-Quan Pham^§, Kaitian Chao, George Gao, Tianyou Wang, Junyao Shi, Osbert Bastani^†, Dinesh Jayaraman^†

§ Equal contribution (sorted in alphabetical order by last name). † Co-advisors.

Under Review