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Lecture Notes in Computer Science
We develop a reinforcement learning based search assistant which can assist users through a set of actions and sequence of interactions to enable them realize their intent. Our approach caters to subjective search where the user is seeking digital assets such as images which is fundamentally different from the tasks which have objective and limited search modalities. Labeled conversational data is generally not available in such search tasks and training the agent through human interactions candoi:10.1007/978-3-319-93701-4_21 fatcat:vj3byu4yk5cvfpviv6tztsijsi