so I gave jev full control of the falcon-9 class rocket

so I gave jev full control of the falcon-9 class rocket full launch to landing no autopilot, no scripted trajectories, no safety veto in the code every decision was made by jev ( you can see decisions at the bottom of the video) and yeah it was able to land the booster and all this with just 245 calls and and $0.04 in API calls for sim I used mujoco and the configurations were 42m booster, 425 tonnes, 9 engines, real atmosphere, mach dependent drag, wind and propellent depletion the vehicle was going ubstable every .8 secs, and jev's decesion making takes place at ~1Hz and output in ~0.4 sec so I gave jev these controls > launch or hold >engine count for every burn( it chose 5 for landing by itself !) > when to light that burn >ascent cutoff, coast, entry, legs, touchdown so after giving all these controls to jev the experiments begun and after 12 runs and tweaking multiple things it managed to land by itself I will write a full article about it and what I did with experiments and whet I tweaks I made but for some final thoughts people are saying it's just a classifier yes, but it's a very good and effective classifier, and its speed and decision making, open up a whole new work for real life tasks and implementationa I will also open source the whole repo for this after cleaning up the clutter in my code so this is the short demo I hope you like it