Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Self-Learning Tuning for Post-Silicon Validation   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.

32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
13
The categories of this paper are: quant-ph
2
The categories of this paper are: math
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph