Large-Scale Retrieval for Reinforcement Learning — mentioned by gwern

Tue, 14 Jun 2022 20:35:51 GMT

Probably the biggest thing for Nethack DRL will be when datasets of human games allow for imitation-learning initialization, rather than learning from tabula rasa (which even humans can't do). I asked them about that and apparently the existing telnet server datasets aren't usable but they have been working on getting usable game logs in the future: https://www.reddit.com/r/MachineLearning/comments/p88v9w/d_w... As sessions pile up fast from all the active players, I expect at some point they'll be able to dump 50 or 100k human games, including by expert players, and that'll lead to a huge…

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Large-Scale Retrieval for Reinforcement Learning · HackerPapers discussions

Large-Scale Retrieval for Reinforcement Learning — mentioned by gwern