Lagrangian Proximal Policy Optimization

A reinforcement learning algorithm that combines Lagrangian relaxation with Proximal Policy Optimization (PPO) to perform policy optimization under constraints. An action masking mechanism is incorporated to further restrict infeasible actions during training.