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"Shield Decentralization for Safe Multi-Agent Reinforcement Learning."

Daniel Melcer, Christopher Amato, Stavros Tripakis (2022)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-01-08

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  - electronic edition @ nips.cc (open access)
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  dblp key:
  - conf/nips/MelcerAT22
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  persistent URL:
  - https://dblp.org/rec/conf/nips/MelcerAT22
Daniel Melcer, Christopher Amato, Stavros Tripakis:
Shield Decentralization for Safe Multi-Agent Reinforcement Learning. NeurIPS 2022

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