Shypd.aiThe largest open index of AI toolsSafety-Gymnasium is a highly scalable and customizable Safe Reinforcement Learning (SafeRL) library. It provides a unified benchmark and standardized environments for developing safe AI agents.
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Safety-Gymnasium is an open-source library designed for Safe Reinforcement Learning (SafeRL), offering a highly scalable and customizable platform for benchmarking and developing safe AI algorithms. It provides a standardized set of environments, including safe navigation, velocity, vision, multi-agent, and Isaac Gym tasks, all compatible with the new Gym API. The library explicitly expresses costs, returning six items including cost in its step method, and offers convenience wrappers for converting between Safety-Gymnasium and standard Gymnasium APIs. It aims to facilitate research by providing an elegant code framework and well-designed environments, allowing users to explore new insights in SafeRL. The platform is built on MuJoCo 2.3.0+ and addresses previous limitations of similar libraries, such as dependency issues and lack of vectorized environments.
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