Revisiting this whole neural net thing. Did another, longer run after tweaking a bunch of things (mostly removing cruft from the side-view test, like jumping and “grounded” and such).
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| avg | 0.1111835 | 0.1175151 | 0.1161713 | 0.1256572 | 0.1368807 | 0.156331 | 0.1656164 | 0.2083951 | 0.2679169 | 0.3795652 | 0.4956123 | 0.6501181 | 0.561227 | 0.763023 | 0.626345 | 0.684875 | 0.9196341 | 0.7514365 | 0.8885059 | 1.065271 | 0.9615093 | 0.809881 | 0.744675 | 1.001024 | 0.838229 | 0.8915754 | 0.8473446 |
| max | 0.2450459 | 0.2755109 | 0.2239121 | 0.4235514 | 0.4872672 | 0.4836805 | 0.9154767 | 1.048801 | 0.8001958 | 0.8589709 | 1.126522 | 1.106779 | 0.9452468 | 1.010383 | 0.7943439 | 1.048769 | 1.18526 | 0.9457676 | 1.149609 | 1.234839 | 1.202767 | 0.9807028 | 1.026631 | 1.079651 | 0.8743093 | 0.9314666 | 0.9513353 |
- Population Size
- 100
- Run Length
- 20
- Do Training
- False
- Do Hybrid Training
- True
- Do Competitive Run
- False
- Inputs
- hasTarget,targetLeft,targetRight,targetNorth,targetSouth,dirToTarget,distToTarget,wall,sensor0,sensor1,sensor2
- Outputs
- left,right,up,down,run,sensordir0,sensordir1,sensordir2
- Hidden Layers
- 8 12 12 8
- Back Propogation
- True
- Learning rate
- 0.5
- Momentum
- 0.1
- Growth rate
- 0.5