Before revision: Safe deployment of autonomous robots in diverse environmentsrequires agents that are capable of safe and efficient adaptation to new scenarios. Indeed, achieving both data efficiency and well-calibrated safety has been a central problem in robotic learning and adaptive control due in part to the tension between these objectives.
After revision: To safely deploy learning-based systems in highly uncertain environments, one must ensure that they always satisfy constraints.