SIDHANT KAUSHIK

Undergraduate Researcher at the University of California, Berkeley

I am currently a fourth year undergraduate studying Electrical Engineering and Computer Science at UC Berkeley. I am also fortunate to pursue reinforcement learning research with Professor Sergey Levine and doctoral student mentor Michael Chang at the Robotics AI and Learning lab. Broadly, my research interests lie in the intersection of Causality, Representation and Reinforcement Learning. Previously, I have worked in deep learning research with doctoral student Stephen McAleer in the Baldi Group at UCI and at the Radiology department at UCSF. (I also go by Sid)

Research

Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions


Michael Chang, Sidhant Kaushik, S. Matthew Weinberg, Thomas L. Griffiths, Sergey Levine
Paper / Website / Code

Modularity in Reinforcement Learning: An Algorithmic Causality Perspective on Credit Assignment


Michael Chang*, Sidhant Kaushik*, S. Matthew Weinberg, Thomas L. Griffiths, Sergey Levine
Paper / Workshop Talk

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