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  • Supplementary Materials

    Creator:
    Anderson, Andrew A.
    Abstract:
    We present a user study to investigate the impact of explanations on non-experts' understanding of reinforcement learning (RL) agents. We investigate both a common RL visualization, saliency maps (the focus of attention), and a more recent explanation type, reward-decomposition bars (predictions of future types of rewards). We designed a 124...
    Resource Type:
    Other