#765 overall
CS234: Reinforcement Learning
Stanford University
1 recommender · 1 thread · recommended in 1 year, 2022 · score 0.7
CS234 is Stanford's graduate-level course on reinforcement learning, covering Markov decision processes, policy gradients, and deep RL methods. The course is distributed as free lecture videos on YouTube.
One commenter lists it as step two in a recommended sequence of Stanford courses and calls the lectures free and high-quality but demanding.
Machine Learning & AIadvancedfreevideo lectures#reinforcement learning#deep rl#markov decision processes#stanford#policy gradients
Recommendations by year
20062026
I would recommend auditing Stanford courses in following order:
1. CS231n Machine Vision https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1T...
2. CS234 Reinforcement Learning https://www.youtube.com/watch?v=FgzM3zpZ55o&list=PLoROMvodv4...
3. CS330 Meta Learning https://www.youtube.com/watch?v=0rZtSwNOTQo&list=PLoROMvodv4...
Those will get you on track with general concepts about reasoning, AI engineering and concepts of learning itself
Language models for me a bit of headache because there're in different domain on intersection with linguistics and humanities but here's a good course
https://www.youtube.com/watch?v=rha64cQRLs8&list=PLoROMvodv4...
Those are all free and high-quality but require a lot of brain power