Dialogue Planning

Dialogue planning focuses on designing algorithms that enable computers to engage in more natural, goal-oriented conversations. Current research emphasizes developing models that proactively steer conversations towards specific targets, often using techniques like dual-process frameworks inspired by human cognition, bidirectional planning, and stochastic processes to model dialogue flow. These advancements leverage reinforcement learning and mixture-of-expert language models to improve both the coherence and efficiency of dialogue generation, with implications for building more sophisticated and engaging conversational AI systems.