CRAX: Fast Safe Reinforcement Learning Benchmarking

Tristan Tomilin, Mourad Boustani, Mickey Beurskens +1

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 progr…