Source:- Google’s AI teams used the comparatively quiet post-easter days to get ML practitioners up to speed with their latest research in reinforcement learning, natural language processing, and computer vision. In “An optimistic perspective on offline reinforcement learning”, a team of researchers has looked into ways to use a fixed offline dataset of logged interactions to teach agents how to handle themselves in real world situations. While agents normally learn by getting live feedback from their environment, this approach is