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by artofpongfu
413 days ago
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Very cool, but "Our approach lead to competitive play at human level and a robot agent that humans actually enjoy playing with": I would not call that remotely near "human level" yet. I think we'll get there at some point but I think people underestimate how difficult table tennis is and the level of top human play is insane. This was the World Cup match point recently for reference: https://www.youtube.com/shorts/-AJg2u7U5MU As a little side project I'm working on a table tennis AI for VR which works by imitating real players, which is a much simpler problem since you're allowed to "fake" a lot of things in a game. I think VR holds more promise in the short to medium term for practicing TT than robotics. |
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"Human level competitive", "solidly amateur-level human performance", "beat 100% of beginners and 55% of intermediate players". That robot would definitely win some games in your local club league, except that it doesn't serve, and unless it's cheating in ways the announcement glosses over like extra cameras - DeepMind have some history here so I reserve the right to be skeptical.
The only thing I'd take issue with in the abstract is "Table tennis... requires human players to undergo years of training to achieve an advanced level of proficiency." While that sentence is true, it's irrelevant to this robot since this robot only plays at intermediate proficiency, a level reachable by a moderately athletic human with some practice.
By contrast, the AlphaGo [0] AlphaZero [1] and AlphaStar [2] papers claim "mastery", "superhuman", "world champion level", "Grandmaster-level", "human professional" ability - all defensible claims given their performance and match conditions in the respective games.
[0] https://www.researchgate.net/publication/292074166_Mastering...
[1] https://arxiv.org/pdf/1712.01815
[2] https://www.nature.com/articles/s41586-019-1724-z