GENESIS-RL: A Reinforcement Learning Framework for Generating Naturalistic Edge Cases to Systematically Test Autonomous Systems
GENESIS-RL leverages reinforcement learning to systematically manipulate the simulated environment and generate challenging yet naturalistic edge cases that can reveal potential safety vulnerabilities in autonomous systems.
