Difference between revisions of "Movement Challenge 2022/Prior Probability Challenge"
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; Random targeting | ; Random targeting | ||
| − | : Defined as a robot firing uniformly distributed | + | : Defined as a robot firing uniformly distributed angles between [[Maximum Escape Angle/Precise Positional/Non-Iterative|Precise Positional Maximum Escape Angle (PPMEA)]]. |
; Firer movement | ; Firer movement | ||
| − | : A variety of movements should be selected, including stationary, random movement, simple wave surfing & | + | : A variety of movements should be selected, including stationary, random movement, simple wave surfing & sophisticated wave surfing. (precise list is TO BE DISCUSSED). |
; Participant targeting | ; Participant targeting | ||
: Random targeting. | : Random targeting. | ||
; Ablation experiments of danger models | ; Ablation experiments of danger models | ||
| − | : Danger models should be replaced by uniformly distributed | + | : Danger models should be replaced by uniformly distributed angles between PPMEA as well (don't use monte-carlo here). |
: Original danger models can also be tested, which tests their ability to accurately fit random targeting as well. | : Original danger models can also be tested, which tests their ability to accurately fit random targeting as well. | ||
[[Category:Movement Challenges]] | [[Category:Movement Challenges]] | ||
Latest revision as of 07:02, 20 March 2022
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Test your bot against random targeting, which is prior probability of getting hit, in order to compare strategies including distancing, max escape angle and precise wave intersection.
- Random targeting
- Defined as a robot firing uniformly distributed angles between Precise Positional Maximum Escape Angle (PPMEA).
- Firer movement
- A variety of movements should be selected, including stationary, random movement, simple wave surfing & sophisticated wave surfing. (precise list is TO BE DISCUSSED).
- Participant targeting
- Random targeting.
- Ablation experiments of danger models
- Danger models should be replaced by uniformly distributed angles between PPMEA as well (don't use monte-carlo here).
- Original danger models can also be tested, which tests their ability to accurately fit random targeting as well.
