Dr. Bob Moore accepted our Jan-2020 Challenge “Nim” and provided a very interesting machine learning solution. He applied a self-learning approach by playing games in which both players use the latest learned strategies that are being constantly improved. In a way, his approach is similar to AlphaGo when a program becomes its own teacher. Dr. Moore’s solution is  written in Python without any 3rd party ML tools and leaves a space for experiments and possible improvements – he makes all sources available upon a request. Link Bob will present his solution at pre-DecisionCAMP Zoom session  – join us on June 4 at 12:00p EST