2026
CONFORMAL SIGNAL TEMPORAL LOGIC FOR ROBUST REINFORCEMENT LEARNING CONTROL: A CASE STUDY
ICASSP 2026poster
We investigate how formal temporal logic specifications can enhance the safety and robustness of reinforcement learning (RL) control in aerospace applications. Using the open source AeroBench F-16 simulation benchmark, we train a Proximal Policy Optimization (PPO) agent to regulate engine throttle a…