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  • title: Formula Zero: Distributionally Robust Online Adaptation via Offline Population Synthesis
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            Formula Zero: Distributionally Robust Online Adaptation via Offline Population Synthesis
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            Formula Zero: Distributionally Robust Online Adaptation via Offline Population Synthesis

            Jul 12, 2020

            Speakers

            AS

            Aman Sinha

            Speaker · 0 followers

            MO

            Matthew O'Kelly

            Speaker · 0 followers

            HZ

            Hongrui Zheng

            Speaker · 0 followers

            About

            Balancing performance and safety is crucial to deploying autonomous vehicles in multi-agent environments. In particular, autonomous racing is a domain that penalizes safe but conservative policies, highlighting the need for robust, adaptive strategies. Current approaches either make simplifying assumptions about other agents or lack robust mechanisms for online adaptation. This work makes algorithmic contributions to both challenges. First, to generate a realistic, diverse set of opponents, we d…

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            ICML 2020

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            AI & Data Science

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            About ICML 2020

            The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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