CRAX: Fast Safe Reinforcement Learning Benchmarking.

arXiv:2606.20376v4 Announce Type: replace-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 3D