An an example of winning through actions, and leading by doing. In this StarCraft AI competition organized by AIIDE, meaningful dialog and discussion happened via demonstration of various different approaches, so in the end, everyone is a winner. https://t.co/gWDirEhkr2
— hardmaru (@hardmaru) November 23, 2018
Why doesn’t RL use more toy tasks to measure advances in specific aspects of a problem like long term planning, large action spaces, imperfect information, etc?
— Denny Britz (@dennybritz) January 25, 2019
Complex environments such as Starcraft are impressive but make it difficult to disentangle *why* an agent wins.
“The way how Deepmind beat the human pros was in direct contradiction to what their mission statement was and what they repeatedly claimed to be the “right way” to do it.” 🔥🔥🔥 https://t.co/xqKn8w01A8
— Denny Britz (@dennybritz) January 27, 2019
Interesting post on AlphaStar's APM and superhuman actions. pic.twitter.com/KrzSZf73en
"For me, as a Starcraft fan, I would appreciate the DeepMind team being a bit more open about the challenges they are facing as well as the corners they are cutting and how they plan to tackle them in the next demo" Insanely thorough analysis of AlphaStar:https://t.co/UaUA6Lgok7
— Zachary Lipton (@zacharylipton) January 27, 2019
