My research interest lies in deep reinforcement learning (RL), especially solving the hard-exploration problems and balancing the exploitation and exploration in difficult domains. I also have a broad interest in representation learning to improve sample efficiency and performance of RL algorithms. Besides, I am passionate about applying research findings in real-world problems, such as recommender systems and robotics-related tasks.