@@ -86,7 +86,7 @@ We did not use pre-trained models in our study. Note that it is impossible to re
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@@ -86,7 +86,7 @@ We did not use pre-trained models in our study. Note that it is impossible to re
- CMP: Innovus launched with 8 threads
- CMP: Innovus launched with 8 threads
- AutoDMP: run on NVIDIA DGX-A100 machine with two GPU workers
- AutoDMP: run on NVIDIA DGX-A100 machine with two GPU workers
**8. In your experiments how are the results of Simulated Annealing (SA) and Reinforcement Learning (i.e., Circuit Training) compared?**
**8. In your experiments how do the results of Simulated Annealing (SA) and Reinforcement Learning (i.e., Circuit Training) compare?**
- The solutions typically produced by human experts and SA are superior to those generated by the RL framework in the majority of cases we tested.
- The solutions typically produced by human experts and SA are superior to those generated by the RL framework in the majority of cases we tested.
- Furthermore, in our experiments, SA in nearly all cases produces better results than Circuit Training, **using less computational resources**, across both benchmark sets that we studied.
- Furthermore, in our experiments, SA in nearly all cases produces better results than Circuit Training, **using less computational resources**, across both benchmark sets that we studied.