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October Surprise 2016

[2205.10330] A Review of Safe Reinforcement Learning: Methods, Theory …

However, safety concerns are raised during deploying RL in real-world applications, leading to a growing demand for safe RL algorithms, such as in autonomous driving and robotics scenarios. While safe control has a long history, the study of safe RL algorithms is still in the early stages.