Wecome to SaferRL!

This is a resource that makes it easier to learn about safe reinforcement learning.

This module contains a variety of helpful resources, including:

• a short introduction to Safe RL terminology, kinds of algorithms, and basic theory,
• a curated list of important papers organized by topic,
• and a well-documented code repo of short, standalone implementations of key algorithms.

Get started at SaferRL!

Citing SaferRL

If you reference or use SaferRL in your research, please cite:

@article{SaferRL2022,
    author = {Rong, Guo},
    title = {{Safer Reinforcement Learning}},
    year = {2022}
}

Stay safe and happy reinforcement learning!