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Re:CS234: Reinforcement Learning Winter 2025 by moosedev on Wednesday November 26, 2025 @09:21AM (#46057627)
Re:CS234: Reinforcement Learning Winter 2025 by storus on Wednesday November 26, 2025 @11:35AM (#46059247)
Those don't have DPO/GRPO which arguably made some parts of RL obsolete.
Re:CS234: Reinforcement Learning Winter 2025 by nafizh on Wednesday November 26, 2025 @03:27PM (#46061949)
check out cs 336 stanford, they cover DPO/GRPO and relevant parts needed to train LLMs.
Re:CS234: Reinforcement Learning Winter 2025 by storus on Wednesday November 26, 2025 @08:23PM (#46064391)
It's also covered by CS329H.
Re:CS234: Reinforcement Learning Winter 2025 by upbeat_general on Wednesday November 26, 2025 @04:06PM (#46062306)
I can assure you that lacking knowledge in DPO (and especially GRPO it’s just stripped down PPO) is not a dealbreaker.
Re:CS234: Reinforcement Learning Winter 2025 by rllearner on Wednesday November 26, 2025 @04:14PM (#46062388)
One of my favorite parts of the 2024 series on Youtube was when Prof B explained her excitement just before introducing UCB algorithms (Lecture 11): "So now we're going to see one of my favorite ideas in the course, which is optimism under uncertainty... I think it's a lovely principle because it shows why it's provably optimal to be optimistic about things. Which is kind of beautiful."

Those moments are the best part of classroom education. When a super knowledgeable person spends a few weeks helping you get to the point where you can finally understand something cool. And you can sense their excitement to tell you about it. I still remember learning Gauss-Bonnet, Stokes Theorem, and the Central Limit Theorem. I think optimism under uncertainty falls in that group.