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Deep Reinforcement Learning for Interactive Systems
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Zhiwen Tang – ProQuest LLC, 2021
Artificial intelligence (AI) aims to build intelligent systems that can interact with and assist humans. During the interaction, a system learns the requirements from the human user and adapts to the needs to complete tasks. A popular type of interactive system is retrieval-based, where the system uses a retrieval function to retrieve relevant…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Objectives, Reinforcement