Abstract: Autonomous Driving Systems (ADS) are considered safety-critical, as even a minor fault may lead to catastrophic consequences. To evaluate their reliability and robustness under failure ...

Abstract: The promotion of large-scale applications of reinforcement learning (RL) requires efficient training computation. While existing parallel RL frameworks encompass a variety of RL algorithms ...