Augmented Lagrangian Multiplier Network for State-wise Safety in Reinforcement Learning

arXiv:2605.00667v1 Announce Type: cross Abstract: Safety is a primary challenge in real-world reinforcement learning (RL). Formulating safety requirements as state-wise constraints has become a prominent paradigm. Handling state-wise constraints with the Lagrangian method requires a distinct...