It Takes Two Neurons to Ride a Bicycle
Summary
The paper demonstrates that a tiny two-neuron network can steer a bicycle in a simulated environment, outlining three controller styles (prescient RL, human-guided, and two-neuron) and highlighting the lean-based control relationship between heading change and wheel torque. It discusses RL limitations, human insights, and points toward future automated learning and causal modeling.