Increasing complexity of modern chips makes design validation more difficult. Existing approaches are not able anymore to cope with the complexity of tasks such as robust performance tuning in post-silicon validation. Therefore, we propose a novel approach based on learn-to-optimize and reinforcement learning in order to solve complex and mixed-type tuning tasks in a efficient and robust way.

翻译：现代芯片的日益复杂使得设计鉴定更加困难。 现有办法已不再能够应付诸如硅后鉴定中强有力的业绩调整等复杂任务。 因此,我们提议以学习优化和加强学习为基础的新办法,以便以高效和稳健的方式解决复杂和混合型的调整任务。