2024
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue
EMNLP 2024finding
Reinforcement learning (RL) is a powerful approach to enhance task-oriented dialogue (TOD) systems. However, existing RL methods tend to mainly focus on generation tasks, such as dialogue policy learning (DPL) or response generation (RG), while neglecting dialogue state tracking (DST) for understand…