More on Dota 2

Our Dota 2 result shows that self-play can catapult the performance of machine learning systems from far below human level to superhuman, given sufficient compute. In the span of a month, our system went from barely matching a high-ranked player to beating the top pros and has continued to improve since then. Supervised deep learning systems can only be as good as their training datasets, but in self-play systems, the available data improves automatically as the agent gets better. Improvements came from every part of the system, from adding new features to algorithmic improvements to scaling things up. The graph is surprisingly linear, meaning the team improved the bot exponentially over time.