Abstract: Reinforcement learning (RL) agents often struggle with long-horizon tasks that have sparse rewards. Intrinsic motivation methods tackle this by rewarding the agent for novel or informative ...
Abstract: In this study, we examined a digital twin model that has multiple processes. Generally, previous processes affect subsequent processes in the semiconductor manufacturing process. Therefore, ...
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