"Pioneering Next-Generation AI that is Explainable, Trustworthy, and Beneficial."

We aim to develop autonomous agents that can optimize their own intelligence and adapt to new environments through advanced Reinforcement Learning. By bridging the gap between theoretical foundations and practical applications, AI-CORE Lab strives to solve complex real-world challenges in both everyday life and industrial sectors.

• Reinforcement Learning for LLMs: Optimizing Large Language Models and developing LLM-based agents.

• Artificial Superintelligence: Pushing the boundaries towards more general and robust intelligence.

• Vision-Language-Action (VLA) Models: Integrating multi-modal perception with embodied action.

• Reinforcement Learning for Advanced Robotics: Applying intelligent optimization to next-generation robotic systems.

• Industrial AI: Transforming complex industrial problems into AI-driven optimization solutions.