initial: ML debugging folklore skill

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)

docs/evidence/reddit_icml2017_tutorial_levine_6vcvu1.md

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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
+Fetched-via: Reddit JSON API (limit=500, depth=10)
+Fetch-status: verbatim
+
+# 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.