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feat(sim): improve inference control flow and runway approach behavior
thewildofficialMake verbose inference event-driven with safer command parsing and cleaner logging, align prompt command guidance with the airport command reference, and fix landing/arrival dynamics to avoid premature terminal outcomes. Also improve visualizer reliability by stabilizing log rendering and keeping spawned aircraft visible. Made-with: Cursorb209d78 -
feat(ui): surface live RL task, reward, and model events in the visualizer
thewildofficial +1: SisyphusUltraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent) Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>f62fc81
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Implemented Some Metrics, Aban will need to check
97ef31f -
pleaseeeeeeee
Kr0issant70958b4 -
FIxed Error And Comamnds, Direct TO changed Ro
e1e9687 -
Redundant Data Removal, No metricss Added yet :)
5caf589 -
Landing Done Everything Works
bc3a44a -
Landing Logic Done, Scale Increased to 45km, FAF Added
d936242
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UI Updated Added Landing Logic(untested) Changed ROute Definition method
74460ff -
Added Run Server .py Added Time Scaling FIxed Holding Logic
c485991 -
Simulation Works, Planes Turn Well, Commands to Drect Planes Work Wind Can be Changed, Fully Modular Airport Management Complete Changes Still Needed
08b99b2 -
The Planes Move, More Frontend Added, Technicalities around Planes Not Final, Adde More Endpoints, Small Fixes, Commands Added - not Tested etc
5086de6
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sync
Kr0issant87dbbc6
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add visualizer (wip)
Kr0issant6ef6359