Decisions from Data: How Offline Reinforcement Learning Will Change How We Use ML

A ride sharing company collects a dataset of pricing and discount decisions with corresponding changes in customer and driver behavior, in order to optimize a dynamic pricing strategy. An online vendor records orders and inventory levels to generate an inventory level management policy. An autonomous car company records driving data from human drivers to train an improved end-to-end vision-based driving controller.All of these applications have two things in common: we would consider each of the...