eXperience Report

eXperience Report research focuses on leveraging past interactions and data to improve AI systems and human-computer interactions. Current work explores diverse applications, from enhancing large language models with memory and critics to using experience replay in reinforcement learning and developing AI-driven QoE prediction models. This field is significant because it addresses the limitations of traditional AI approaches by incorporating contextual information and learning from past successes and failures, leading to more robust, adaptable, and user-friendly systems across various domains.