Onenaiveapproach to incorporate this ability into AI is through future trajectory prediction using model-based RL [40,19,31,54,28,26].

After that, the leaner solely and assiduously learns a target model from this dataset without further interaction.

Recently, utilizing reinforcement learning (RL) to generate molecules with desired properties has been highlighted as apromising strategy for drug design.

Multi-Agent Reinforcement Learning (MARL) has achieved impressive performance in a wide array of applications including multi-player game play [42, 31], multi-robot systems [13], and autonomousdriving[25].