Connectome-Powered Navigation Agent

Uses a 1,243-neuron central-complex subgraph of MaleCNS v1.0 as the frozen recurrent layer of a PPO navigation agent, and compares it against three alternatives rather than presenting it alone. The connectome agent reaches 90% of peak reward in 1,200 episodes against 1,450 for an unconstrained MLP; keeping the topology but randomising the synapse values costs about 7%, and pruning the weakest half of the synapses costs about 3.5%. A Three.js page renders the subgraph and runs the agents side by side. Note that without a neuPrint token the code falls back to a synthetic central complex.

Official site ↗Repository ↗

#malecns#central-complex#reinforcement-learning#ppo#topology-control#threejs