ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving

Overview

ECSAS describes action sequences using BTScenario and applies reinforcement learning to search critical parameter combinations. Action masking and replay buffers improve exploration, evaluated against random and combinatorial testing across several scenarios.