PEARL: A Retrieval-Augmented Support Agent for Gameplay and Player Expectations
Researchers introduce PEARL (Parallel Education Agent for Reflection and Learning), a dual-component retrieval-augmented agent designed to provide support during gameplay. The work addresses the difficulty of grounding generative models in structured game data, and also examines what players actually expect from AI-driven assistance. It is published as an arXiv cross-listing in the cs.AI category.