I am a third-year Ph.D. student in the Department of Electrical and Computer Engineering at Princeton University. I am very fortunate to be advised by Prof. Benjamin Eysenbach, and I am a member of Princeton RL lab.

I study how to build agents that can explore complex environments and learn useful skills without supervision, human guidance, or pre-collected datasets.
My recent work focuses on two core questions:

• Unsupervised goal-reaching: How can an agent in a completely unknown environment discover its own intermediate skills and subgoals, then use them to reach difficult, faraway goals? 

• Learning world representations: In a world full of information and unknown dynamics, what should an agent keep, what should it ignore, and how should it explore to find the most informative states to construct a good world model? 

Prior to this, my work centered on designing machine learning algorithms for decentralized financial markets and, in general, decentralized systems. You can find a list of my publications from that line of research here. I received both my bachelor's and master's degrees in Electrical Engineering from Sharif University of Technology in Iran.