RL-ADA: A World-Feedback Framework for Adversarially Robust Enterprise Dialogue Agents
RL-ADA (Reinforcement Learning with Adversarial Dialogue Agents), a co-evolutionary training framework that eliminates this bottleneck by replacing human labels with consequence-based reward signals derived directly from measurable interaction outcomes, is presented.
Ramya Narayanan, Harshit Rajgarhia, Abhishek Mukherji
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