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Rohan Chitnis

I am a PhD student in MIT EECS, within CSAIL's Learning and Intelligent Systems group. In May 2018, I received an MS in EECS from MIT. In May 2016, I received a BS in EECS, with Highest Honors, from UC Berkeley.

I work in the field of artificial intelligence for robotics. My current interests are in probabilistic inference, planning, and learning for human-robot interactive settings involving partial observability. Previously, I have worked at the intersection of task and motion planning (TAMP) and reinforcement learning. Please check out my publications if you would like to learn more.

I have enjoyed being a Teaching Assistant numerous times throughout my academic career, and hope to continue in the future.

My paper "Integrating Human-Provided Information Into Belief State Representation Using Dynamic Factorization" won the Best Paper Award at the 2018 International Workshop on Statistical Relational AI.

In Summer 2017, I did a research internship with Google Brain Robotics, working on methods for improving exploration in deep reinforcement learning.

In Summer 2016, I interned as a software engineer at Airbnb, doing machine learning with the Search Ranking team.

In March 2016, I was awarded an NSF GRFP Fellowship (accepted) and an NDSEG Fellowship (declined).

In January 2016, I was selected as one of 40 Finalists for the Hertz Fellowship, a highly reputable fellowship for student researchers in the physical, biological, and engineering sciences.

In December 2015, I was selected as the Runner-up for the 2016 Computing Research Association (CRA) Outstanding Undergraduate Researcher Award (Male, PhD-granting institution).

MDPs are extremely versatile!

Belief space hierarchical planning, visualized.