中央研究院 資訊科學研究所

We aim to design reinforcement learning algorithms that balance theoretical soundness, safety, and adaptability, enabling trustworthy deployment across domains ranging from finance to home robotics. In this talk, we will introduce Offline RL and Cognitive RL methods that advance this goal.