Research Topics & Interests Deep Reinforcement Learning We tackle key challenges in deep reinforcement learning, aiming to make RL systems both robust and efficient. Our research focuses on enabling agents to learn optimal timing for actions, develop a contextual understanding of complex environments, and build predictive world models that improve decision-making. Automated Reinforcement Learning We … Continue reading Reinforcement Learning