Sanjana Srivastava

Sanjana Srivastava

Stanford, California, United States
2K followers 500+ connections

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About

Graduating Stanford AI PhD student interested in evaluation and RL-based adaptation of…

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Experience

  • Stanford University Graphic

    Stanford University

    Stanford, California

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    London Area, United Kingdom

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    Greater Boston Area

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    Menlo Park

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    San Francisco Bay Area

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    Doha

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    Greater Boston Area

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    Greater Minneapolis-St. Paul Area

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    Minneapolis

Education

  • Stanford University Graphic

    Stanford University

    - Present

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Volunteer Experience

  • Teacher

    LearningWorks at Blake: A Breakthrough Collaborative Program

Publications

Patents

  • Predictive Executive Functioning Models Using Interactive Tangible-Graphical Interface Devices

    Filed US US20140057244 A1

    A method of diagnosing attention deficit hyperactivity disorder (ADHD). The method employs a tangible graphical interactive game wherein the interactive game employs a plurality of tangible graphical cubes. The game induces stimuli, measures responses and accumulates the responses using a predefined set of variables into a predefined set of metrics, wherein the variables are determined using an interactive machine learning feedback algorithm.

    Other inventors
    See patent

Projects

  • ROSETTA: code reward from unconstrained language

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    Developed method to generate code-based RL reward from individual unseen language preferences. Works one-shot in difficult settings like ManiSkill 3 continuous control. Designed thorough metric suite. 86% human satisfaction, 87% task success rate on dataset of 116 unique preferences.

  • BEHAVIOR-100 and BEHAVIOR-1K benchmarks

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    Built the largest embodied AI benchmarks of layperson-defined tasks in various physical modalities. Designed data-driven human annotation pipeline, implemented logic solver and analytical form to get automatic binary evaluation and non-sparse reward. Conducted 2,000-person task preference survey and scaled to 1,000 tasks in OmniGibson simulator. Extensive code/engineering/design collaboration.

  • Offline RL with binary preference

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    Implemented offline actor-critic and offline MuZero advantage objectives and used years of preference-annotated demos from DM Playhouse to train advantage directly. Designed tasks with long-horizon dependencies to evaluate offline RL compared to online setter-replay.

Honors & Awards

  • ROSETTA Best Paper Award

    Workshop on Continual Robot Learning from Humans @ Robotics: Science and Systems

  • BEHAVIOR-1K Best Paper Nomination

    Conference on Robot Learning (CoRL)

  • NSF Graduate Research Fellow

    National Science Foundation

  • English Achievement Award

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    Award for best student in the subject of English across school.

  • National Merit Semifinalist

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  • National AP Scholar

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  • North Star Journalist Award

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    State-wide award for excellence in journalism; accepted for work in school newspaper.

  • Siemens Competition Semifinalist

    Siemens Foundation

    Placed as a semifinalist in the annual Siemens Competition in Math, Science, and Technology.

  • Startup Awards for CogCubed

    Minnesota High Tech Association; Minnesota Cup

    CogCubed, Inc. received recognitions for presentations based on the technology I developed (Tekne Award finalists in Hi-Tech and Healthcare startup categories; Minnesota Cup High-Tech division runner up).

  • American Mathematics Competition 10 School Top Scorer

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  • American Invitational Mathematics Examination Qualifier (2012)

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  • Grace Hopper Poster Presenter and Scholar

    Anita Borg Institute

    Poster accepted at the annual Grace Hopper Celebration, one of the foremost conventions for women in computer science. Separate scholarship received to attend conference from the Anita Borg Institute, the host of GHC.

Languages

  • English

    Native or bilingual proficiency

  • Hindi

    Native or bilingual proficiency

  • Mandarin

    Elementary proficiency

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