Robust Exploration in Directed Controller Synthesis via Mixture-of-Experts Reinforcement Learning
A Mixture-of-Experts framework that combines multiple policies, leveraging their complementary strengths to form a more robust exploration policy is proposed, and the evaluation on the Air Traffic benchmark shows that this proposal significantly increases the number of solvable instances.