Dec. 1, 2023, 7:14 p.m. | /u/n0ided_

Machine Learning www.reddit.com

For the two people in this subreddit that haven't read the bitter lesson yet, [http://www.incompleteideas.net/IncIdeas/BitterLesson.html](http://www.incompleteideas.net/IncIdeas/BitterLesson.html)

However, as someone who is interested in robot perception, planning, and learning, does this necessarily apply? I'm not too sure, especially in the context of robots in human (unstructured) environments whose policies cover much wider in scope than say factory or warehouse robots. Robots that have to deal with the stochastic and wildly differing nature of the real world, whose policies are robust to change …

apply context deal environments factory human machinelearning nature perception planning robot robot perception robots stochastic unstructured warehouse warehouse robots world

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