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Deep research to uplift LLMs for ML debugging, opinionated by source selection. Distilled from Schulman, Jones, Rahtz, Goodfellow, CS231n, FSDL, and more. Includes runnable diagnostic scripts and LLM-specific anti-patterns. Author: wassname (https://github.com/wassname)
13 lines
431 B
Markdown
13 lines
431 B
Markdown
Source: https://old.reddit.com/r/reinforcementlearning/comments/5hereu/
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Title: "The Nuts and Bolts of Deep RL Research" (Schulman December 2016 slides)
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Fetched-via: Reddit JSON API (limit=500, depth=10)
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Fetch-status: verbatim
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# "The Nuts and Bolts of Deep RL Research" (Schulman December 2016 slides)
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**Posted by:** u/gwern | Score: 5 | 0 comments
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Link: http://rll.berkeley.edu/deeprlcourse/docs/nuts-and-bolts.pdf
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## Comments
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