A Multimodal Dialogue System for Conversational Image Editing
Table 3: Result metrics of our real user study on the 10 sampled goals from the test set. Rule-based and DQN policies have the same 0.8 success rate, and the DQN policy has fewer number of turns.
['[EMPTY]', 'Rule-based Turn', 'Rule-based Success', 'DQN Turn', 'DQN Success']
Both policies achieved 0.8 success rate, while the DQN policy has fewer number of turns. Due to the small amount of goals, we focus on the insights gained from manually inspecting the dialogue data.