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[D] OpenAI Rubik’s cube hype : r/MachineLearning

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Beginners -> /r/mlquestions or /r/learnmachinelearning , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets Following the Rubik’s cube video and paper, seems OpenAI is doing their usual business: Brute force search/learning with $$$ GPU hours, viral a video and PR, call it AGI “progress”. I’ve seen better previous works, in sample efficiency and/or intepretability: DeLaNet, Generalize robots as learnable Lagrangian, able to derive and seperate robot kinematics and external forces, e.g. Friction and Coriolis forces. https://arxiv.org/abs/1907.04489 https://openreview.net/forum?id=BklHpjCqKm TossingBot, Residual dynamics model learning, able to near-online adapt and generalize to arbitrary-weight objects throwing to targets with perturbations, https://arxiv.org/abs/1903.11239 https://ai.googleblog.com/2019/03/unifying-physics-and-deep-learning-with.html One may argue OpenAI did prior-less learning, but their sample efficiency is big problem (adaptive ra

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