Constraint-Enhanced Reinforcement Learning Based on Dynamic Decoupled Spherical Radial Squashing
arXiv:2605.04185v1 Announce Type: cross
Abstract: When deploying reinforcement learning policies to physical robots, actuator rate constraints — hard limits on how fast each joint can move per control step — are unavoidable. These limits vary substa…