Weight Agnostic Neural Networks
Dec. 12, 2019
Pros & Cons of WANNs
Experiments with Reinforcement Learning Tasks
- Swing Up
Performance Along with Fixed Topology
>Weights\score\Swing Up:WANN,Fixed Topology Random,57,21 Random Shared,515,7 Tuned Shared,723,8 Tuned,932,918
>Weights\score\Biped:WANN,Fixed Topology Random,-46,-129 Random Shared,51,-107 Tuned Shared,261,-35 Tuned,332,347
>Weights\score\CarRacing:WANN,Fixed Topology Random,-69,-82 Random Shared,375,-85 Tuned Shared,608,-37 Tuned,893,906
WANNs' weights are trained to be so.
- Without training, it can do.
- With little training, it's near optimal.
Parameters and HyperParameters
But it is unfair.
WANNs' architectures are shrunk to be so.
Can WANN beat NAS? I wonder.
Page Not Found
Try to search through the entire repo.