Safety Constraint RL

Constrained reinforcement learning that optimizes return while satisfying safety constraints (e.g., collision probability < 0.01, joint torque limits). Constrained policy optimization (CPO), Lagrangian methods, and control barrier functions are common approaches. Safe RL is critical for real-world robot deployment where constraint violations can damage hardware or harm people.