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Found 3 papers, 1 papers with code
Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs
To the best of our knowledge, AutoConcierge is the first automated conversational agent that can realistically converse like a human and provide help to humans based on truly understanding human utterances.
Reliable Natural Language Understanding with Large Language Models and Answer Set Programming
NLU applications developed using the STAR framework are also explainable: along with the predicates generated, a justification in the form of a proof tree can be produced for a given output.
Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations
In this paper, we approach the task of transfer learning between domains that differ in action spaces.
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