Reinforcement Learning and Public Policy

Abstract

Reinforcement learning is getting to a state where it is being considered for use within public policy and government services. In this talk, we examine the public sector use-cases where reinforcement learning is being used (or could be used in the near future). We evaluate the challenges and risks of these deployments, suggesting paths forward for determining if RL can or should be used in particular public sector deployments.