Ming-Hui Ma

Proactive Dialogue Policy Optimization via Cognitive-State Transition

Proactive dialogue requires agents to continually adapt their policies to user feedback while progressing toward task objectives over multiple turns. To move beyond imitation learning on static datasets, recent approaches use user simulators to collect interactive data for policy optimization. However, many simulators...