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News/CRAX: Fast Safe Reinforcement Learning Benchmarking
arxiv
PublishedJune 19, 2026 at 4:00 AM

CRAX: Fast Safe Reinforcement Learning Benchmarking

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arXiv:2606.20376v1 Announce Type: cross Abstract: Safety is a core concern for deploying reinforcement learning (RL) agents in real-world domains such as robotics and autonomous driving. While benchmarks have been central to progress in RL, existing safety benchmarks with high-fidelity 3D physics re

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