Difference between revisions of "Movement Challenge 2022/Prior Probability Challenge"
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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. | 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 [[Maximum Escape Angle/Precise Positional/Non-Iterative|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. | ||
+ | |||
+ | [[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.