Published July 26, 2022 | Version ATVA2022
Software Open

Artifact of "Dynamic Shielding for Reinforcement Learning in Black-Box Environments"

Creators

  • 1. Kyoto University

Contributors

  • 1. National Institute of Informatics
  • 2. National Institute of Advanced Industrial Science and Technology
  • 3. University of Electronic Science and Technology of China

Description

This is a cleaned-up version of the implementation used for the experiment of our ATVA 2022 paper.

Files

ERATOMMSD/dynamic-shielding-ATVA2022.zip

Files (2.9 MB)

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md5:f28211b2906c150a341ab2feee585197
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Additional details

Related works

Is supplement to
https://github.com/ERATOMMSD/dynamic-shielding/tree/ATVA2022 (URL)