Explaining Reinforcement Learning To Mere Mortals: An Empirical Study - Supplementary Materials
收藏DataCite Commons2020-07-29 更新2024-07-13 收录
下载链接：
https://ir.library.oregonstate.edu/concern/datasets/tt44ps61c
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资源简介：
This dataset is the supplementary materials for the research paper "Explaining Reinforcement Learning to Mere Mortals: An Empirical Study". In an age where AI has become more pervasive, making decisions for us, it's reasonable to expect it to explain itself. What should these explanations look like? This study takes a look at the effectiveness of two visual explanation types: saliency maps (the eyeballs of the AI) and decomposed reward bars (its crystal ball for a predicted score in the future).
提供机构：
Oregon State University
创建时间：
2019-06-01
