Additionally, from the perspective of multi-objective optimization, a problem setting was proposed to optimize both the number of iterations for finding the goal and the kinetics score of the discovered reaction pathway to the goal. Overall, in utilizing an unprecedented large-scale benchmark dataset of reaction path networks, this study systematically elucidated the differences, similarities, and robustness of various reinforcement learning algorithms for finding reaction pathways.