Looking ahead, the advancements presented in this study lay a solid foundation for future research endeavors in predictive modeling and materials science. The seamless integration of RL with GPs opens new avenues for accelerating materials discovery; RL can be used for other studies where determining a model training data is of extreme importance. Further, alternative reinforcement learning techniques beyond Q-learning, such as Deep Q-Networks (DQN) or