Safety
157d agoNew Budget‑Constrained Safety Reachability in RL
Researchers extend safety reachability to handle cumulative cost constraints in offline reinforcement learning, moving beyond hard safety limits. By defining a budget‑conditioned safe set, agents can guarantee safety while optimizing rewards without destabilizing adversarial dynamics.
The Signal
The method leverages the Markov Decision Process framework, strengthening policy reliability for global AI deployment.