The SCALAR framework enhances AI-assisted theoretical physics by optimizing the interaction between researchers and AI agents, revealing that multi-turn dialogues and specific feedback strategies significantly improve outcomes. This study highlights the importance of Actor-Critic pairings in AI-driven scientific discovery, suggesting tailored approaches can lead to better results in complex problem-solving scenarios.