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Improving Sample-Efficiency In Reinforcement Learning For Dialogue Systems By Using Trainable-Action-Mask
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Improving Sample-Efficiency In Reinforcement Learning For Dialogue Systems By Using Trainable-Action-Mask
By interacting with human and learning from reward signals, reinforcement learning is an ideal way to build conversational AI. Concerning the expenses of real-users' responses, improving sample-efficiency has been the key issue when applying reinforcement
By interacting with human and learning from reward signals, reinforcement learning is an ideal way to build conversational AI. Concerning the expenses of real-users' responses, improving sample-efficiency has been the key issue when applying reinforcement
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