Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …

Intelligent agents stand out as a potential path toward artificial general intelligence (AGI).
Thus, researchers have dedicated significant effort to diverse implementations for them …

Reinforcement Learning from Human Feedback (\textbf {RLHF}) has emerged as a dominant
approach for aligning LLM outputs with human preferences. Inspired by the success of …

We explore how interaction with large language models (LLMs) can give rise to emergent
behaviors, empowering players to participate in the evolution of game narratives. Our …

Since the release of ChatGPT, large language models (LLMs) have played a huge role in
various industries. In the field of games, we have used LLMs to act as intelligent AI NPC …

Generative artificial intelligence (GenAI) can be used to create facial expressions of artificial
human characters in real time based on the training dataset. However, the bottleneck that …

Recent advances in generative AI technology have led to many industry experts and
academics questioning the potential role it may have within future game development, with …

This chapter explores the transformative potential of intelligent educational robots (IERs) in
early childhood education, focusing on their ability to foster creativity, personalize learning …

In many modern video games, NPCs often remain unfazed while surrounded by a hail of
bullets. The unrealistic behaviors exhibited by game agents can distract from player …