Companion Learning Framework

method ID: companionlearningframework

Related Papers

Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractHand-crafted rules and reinforcement learning (RL) are two popular choices to obtain dialogue policy. The rule-based policy is often reliable within predefined scope but not self-adaptable, whereas RL is evolvable …...

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