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initial: ML debugging folklore skill

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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)
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Source: https://old.reddit.com/r/reinforcementlearning/comments/6vcvu1/
Title: ICML 2017 Tutorial slides (Levine & Finn): Deep Reinforcement Learning, Decision Making, and Control
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# ICML 2017 Tutorial slides (Levine & Finn): Deep Reinforcement Learning, Decision Making, and Control
**Posted by:** u/gwern | Score: 12 | 1 comments
Link: https://sites.google.com/view/icml17deeprl
## Comments
**u/[deleted]** (score: 4):
[deleted]
**u/cbfinn** (score: 1):
Videos of ICML tutorials (as well as conference talks) will be posted by the conference staff at some point. Though, typically they take quite awhile to be released.