Halil Durmus

Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms

In this work, we propose a self-improving artificial intelligence system to enhance the safety performance of reinforcement learning (RL)-based autonomous driving (AD) agents using black-box verification methods. RL algorithms have become popular in AD applications in recent years. However, the perf…