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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)
713 B
713 B
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.