I study a branch of machine learning called reinforcement learning (RL). Reinforcement learning allows autonomous agents to learn to complete sequential decision making tasks given only a reward signal and interaction with their environment. The goal of my research is to develop and apply reinforcement learning algorithms that are effective with a limited amount of time interacting with a task. My long-term research goal is to develop AI systems that can quickly master a new task with a small number of attempts at the task.