Papers with reinforcement learning-based dialog systems

1 papers
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management (2021.naacl-main)

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Challenge: Existing research on taskoriented dialog systems mainly includes pipeline and end-to-end methods due to its non-differentiable nature.
Approach: They propose a multi-level reward modeling approach that factorizes a reward into a three-level hierarchy: domain, act, and slot.
Outcome: The proposed approach significantly improves performance and speed of training in a wide range of dialog systems.

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