FlyBrain-HalfLife
Yusuftmle
An agent that plays Valve's Half-Life with no deep network, policy or reinforcement learning in the loop: every turn, jump and evasive move comes out of biophysical leaky integrate-and-fire circuits derived from MaleCNS v1.0 and FlyWire and simulated as sparse tensors. Frames are projected onto a 60x60 compound-eye retina and taking damage triggers a giant-fiber escape. The headline figure is the size of the source dataset; the graph actually stepped in the demo is a 12,260-neuron subgraph, shown beside the game with calcium-style activity and descending-neuron meters.
Sources checked
Every fact above was read from these pages on the date the entry was added.
- github.com https://github.com/Yusuftmle/FlyBrain-HalfLife