CycleRL: Sim-to-Real Deep Reinforcement Learning for Robust Autonomous Bicycle Control
arXiv:2603.15013v2 Announce Type: replace
Abstract: Autonomous bicycles offer a promising agile solution for urban mobility and last-mile logistics. However, conventional control strategies often struggle with underactuated nonlinear dynamics, sufferi…