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The completly unsupervised reinf. Learning they applied in the last iteration was unprecedented and set a new standard for machine learning
TD-Gammon (1992) played at expert level using unsupervised reinforcement learning, and the DeepMind team have of course acknowledged that forthrightly. DM do a nice thing, integrating TD-Gammon's approach with Monte-Carlo Tree Search (also an old idea, which DM acknowledge).
I'd also argue that this 2014 paper already had the essence and key ideas of AlphaZero https://papers.nips.cc/paper/5495-learning-to-search-in-branch-and-bound-algorithms …
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