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    Sub-$500 robotics toys could let high-schoolers try reinforcement learning, a user says

    One post argues that cheap, standardized hardware and modern reinforcement learning could accelerate robotics progress. It predicts post-training and recursive improvement will become the bottleneck again once the data problem is partly solved.

    HA
    1 Source, 23d ago, first seen 23d ago

    TLDR

    One user praises the microduck platform and argues that robotics toys costing less than $500 could let high-school students experiment with cutting-edge reinforcement learning (RL). A related post suggests cheap, standardized hardware paired with modern RL could accelerate progress faster than people expect. It argues that once the data problem is partly solved, post-training and recursive improvement become the real bottleneck again.

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    1 Source, first seen 23d ago

    Combined views

    1K

    1 Source, first seen 23d ago

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    2 comments
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    1 Source

    @harvestcodataExcited about this take. Once the data problem is (somewhat) solved, post-training / recursive improvement becomes the real bottleneck again. Cheap, standardized hardware + modern RL methods could accelerate things a lot faster than people expect.

    1 Source

    @harvestcodataExcited about this take. Once the data problem is (somewhat) solved, post-training / recursive improvement becomes the real bottleneck again. Cheap, standardized hardware + modern RL methods could accelerate things a lot faster than people expect.