Ethan Carlson

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Most recently I have been working on prototyping human-model user interfaces in a…

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  • Wispr AI

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  • Many Episode Learning in a Modular Embodied Agent via End-to-End Interaction

    Arxiv

    In this work we give a case study of an embodied machine-learning (ML) powered agent that improves itself via interactions with crowd-workers. The agent consists of a set of modules, some of which are learned, and others heuristic. While the agent is not "end-to-end" in the ML sense, end-to-end interaction is a vital part of the agent's learning mechanism. We describe how the design of the agent works together with the design of multiple annotation interfaces to allow crowd-workers to assign…

    In this work we give a case study of an embodied machine-learning (ML) powered agent that improves itself via interactions with crowd-workers. The agent consists of a set of modules, some of which are learned, and others heuristic. While the agent is not "end-to-end" in the ML sense, end-to-end interaction is a vital part of the agent's learning mechanism. We describe how the design of the agent works together with the design of multiple annotation interfaces to allow crowd-workers to assign credit to module errors from end-to-end interactions, and to label data for individual modules. Over multiple automated human-agent interaction, credit assignment, data annotation, and model re-training and re-deployment, rounds we demonstrate agent improvement.

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  • CurveBoards: Integrating Breadboards into Physical Objects to Prototype Function in the Context of Form

    Proceedings of CHI 2020

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  • The Whirl Cookstove: A Novel Development For Clean Biomass Burning

    Combustion Science and Technology

    Research and development of a cookstove for use in rural Bangladesh showed significant efficiency increase and reduction in particulate emissions, while maintaining performance metrics.

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