The research addresses the challenge of enforcing safety in Reinforcement Learning (RL), crucial for its application in real-world scenarios. The researchers propose a method of overcoming the non-contractiveness of safety…
Continue readingThis research paper by Dominik Baumann and Thomas B. Schon discusses safe reinforcement learning in the context of uncertain variables. The authors argue that most safe learning algorithms only consider…
Continue readingThis research paper presents Safety-Gymnasium, an environment suite for safety-critical tasks in both single and multi-agent scenarios in AI learning. It also introduces a library called Safe Policy Optimization, which…
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