| Abstract: | Over the past decade, decision-making agents have been increasingly deployed in industrial settings, consumer products, healthcare, education, and entertainment. The development of drone delivery services, virtual assistants, and autonomous vehicles have highlighted numerous challenges surrounding the operation of autonomous systems in unstructured environments. This includes mechanisms to support autonomous operations over extended periods of time, techniques that facilitate the use of human assistance in learning and decision-making, learning to reduce the reliance on humans over time, addressing the practical scalability of existing methods, relaxing unrealistic assumptions, and alleviating safety concerns about deploying these systems. |
