UAM 학습 시뮬레이터
@rgh112
A Korean-language browser simulator in which two urban air mobility aircraft fly in 3D and a recurrent network wired from MaleCNS v1.0 picks checkpoints and the return leg, trained by reward from the flight itself. The extract is a 350-neuron subcircuit of 13 types with 15,182 directed connections, keeping the original body IDs, edge directions and synapse counts, with the extraction conditions recorded in a manifest. The page is careful about what it shows: attitude stabilisation and rotor control are fixed, and the bundled example is one seed after 20 training rounds.
Sources checked
Every fact above was read from these pages on the date the entry was added.
- raw.githubusercontent.com https://raw.githubusercontent.com/rgh112/uam-simulator/HEAD/README.md
- rgh112.github.io https://rgh112.github.io/uam-simulator/