Difference between revisions of "User:Nat/Targeting Research Codename M79"
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=== Version === | === Version === | ||
* '''0001''': Basic proof-of-concept. Use k-d tree to store data. Cluster size of 5; dimensions: current angle offset, velocity, distance. | * '''0001''': Basic proof-of-concept. Use k-d tree to store data. Cluster size of 5; dimensions: current angle offset, velocity, distance. | ||
| − | * '''0002''': Cluster size of 150; exponential moving average of 50. (Fixed bug in combining factor since 0001) ''Note: seems to do much better against simple random mover, but a bit worst against more advanced mover. As expected from using more data.'' | + | * '''0002''': Cluster size of 150; exponential moving average of 50. Dimensions: current angle offset, lateral velocity, distance, acceleration, time since direction change, time since accl, wall distance forward and wall distance backward. (Fixed bug in combining factor since 0001) ''Note: seems to do much better against simple random mover, but a bit worst against more advanced mover. As expected from using more data.'' |
Revision as of 13:21, 11 January 2011
M79 is a codename for my new targeting research. If you are around Eternal Rumble ages, please note that this research has nothing to do with Marshmallow.
Angular Targeting
Challenges
Targeting Challenge RM
| Name | Based on | Aspd | Sprw | Fhqw | Yngw | FlMn | EASY | Tron | HTTC | RnMB | DlMc | Grbb | MEDIUM | SnDT | Cgrt | Frtn | WkOb | RkMc | HARD | TOTAL | Comments |
| 0001 | None | 80.71 | 86.80 | 80.76 | 92.37 | 75.30 | 83.19 | 79.39 | 79.19 | 79.70 | 83.03 | 69.88 | 78.24 | 61.76 | 67.86 | 75.50 | 75.52 | 73.66 | 70.86 | 77.43 | 36.5 seasons |
| 0002 | 0001 | 86.15 | 90.82 | 83.92 | 93.65 | 81.70 | 87.25 | 79.38 | 79.25 | 78.15 | 81.31 | 72.51 | 78.12 | 68.10 | 67.74 | 74.20 | 73.34 | 73.05 | 71.29 | 78.88 | 38.0 seasons |
| References | |||||||||||||||||||||
| MakoHT | 78.30 | 79.57 | 83.60 | 95.27 | 79.94 | 83.34 | 80.14 | 85.46 | 75.39 | 87.01 | 55.84 | 76.77 | 60.37 | 66.81 | 54.13 | 72.14 | 35.42 | 57.77 | 72.63 | 43.0 seasons | |
Version
- 0001: Basic proof-of-concept. Use k-d tree to store data. Cluster size of 5; dimensions: current angle offset, velocity, distance.
- 0002: Cluster size of 150; exponential moving average of 50. Dimensions: current angle offset, lateral velocity, distance, acceleration, time since direction change, time since accl, wall distance forward and wall distance backward. (Fixed bug in combining factor since 0001) Note: seems to do much better against simple random mover, but a bit worst against more advanced mover. As expected from using more data.
