Context-Emotion Aware Therapeutic Dialogue Generation: A Multi-component Reinforcement Learning Approach to Language Models for Mental Health Support

This article describes a research paper on using reinforcement learning to improve language models for generating therapeutic dialogues. The focus is on incorporating context and emotion awareness to create more effective mental health support systems. The use of multi-component reinforcement learning suggests a complex approach to optimizing the model's responses.