Sufficiency of Zeroth-Order Reward Shaping for Policy Gradient in Stabilization Control.

arXiv:2609.34695v1 Announce Type: cross Abstract: Reward shaping is fundamental to modern robotic control with deep reinforcement learning (RL), yet practitioners still rely heavily on heuristic principles borrowed from classical optimal control and trajectory