Research
I am interested in endowing embodied agents with the ability to reason about the world around them,through physical scene understanding and continually improve their model of theworld through lifelong learning.
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Contrasting Contrastive Self-Supervised Representation Learning Pipelines
Klemen Kotar, Gabriel Ilharco, Ludwig Schmidt, Kiana Ehsani, Roozbeh Mottaghi
ICCV, 2021
We conduct over 700 experiments to analyze the effects of using various pre-trianing datasets, and self supervised reinforcment learning pipelines, on the final performance of computer vision encoders on a variety of end tasks.
Blog Post, Github
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AllenAct: A Framework for Embodied AI Research
Luca Weihs*, Jordi Salvador*, Klemen Kotar*, Unnat Jain, Kuo-Hao Zeng, Roozbeh Mottaghi, Aniruddha Kembhavi
Techical Paper, 2020
We introduce a new library and framework for conducing reinforcment learning experiments in PyTorch. By providing many built-in training algorithms and utilities and allowing for easy expansion, we hope to reduce the developement overhead and improve consistency of results across projects.
Website, Github
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