The Conditioned Variational Inference (CVI) module can be combined with other safe RL techniques beyond the constrained optimization framework to enhance the overall performance and applicability of the approach. For example, CVI could be integrated with model-based reinforcement learning methods to incorporate uncertainty estimates and model predictions into the policy optimization process. This integration would enable the agent to make more informed decisions in uncertain or novel environments, improving its adaptability and robustness. By combining CVI with diverse safe RL techniques, the CCPO framework can leverage the strengths of different approaches to achieve superior safety and task performance outcomes in a wide range of scenarios.