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A Survey of Constraint Formulations in Safe Reinforcement Learning

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AuthorsAkifumi Wachi, Xun Shen, Yanan Sui
JournalIJCAI
Year2024
DOI10.24963/ijcai.2024/913

What Problem It Solves

Provides a canonical overview or reference point for the relevant DoOperator research area.

What problem it solves

Provides a canonical overview or reference point for the relevant DoOperator research area.

How it works

A survey of safe RL constraint formulations, representative algorithms, and the relationships among common constrained decision-making criteria.

When to use it

Use when orienting a new paper, blog post, benchmark, or research plan in this area.

Limitations and failure modes

Do not cite the overview as evidence that a specific method works in a specific deployment setting without checking the underlying primary paper.

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