Mathematical Foundations of Reinforcement Learning
1–10 of 46 posts
Re: Mathematical Foundations of Reinforcement Learning
#2The best lectures on Reinforcement Learning and related topics are by Dimitris Bertsekas: https://web.mit.edu/dimitrib/www/home.html
Re: Mathematical Foundations of Reinforcement Learning
#3The best lectures on Reinforcement Learning and related topics are by Dimitris Bertsekas: https://web.mit.edu/dimitrib/www/home.html
Also one by David Silver of Deepmind, AlphaGo fame are good too:
https://www.youtube.com/watch?v=2pWv7GOvuf0
Re: Mathematical Foundations of Reinforcement Learning
#4The best lectures on Reinforcement Learning and related topics are by Dimitris Bertsekas: https://web.mit.edu/dimitrib/www/home.html
His books tend to be dry and geared towards researchers, in my opinion. He has a new one on RL: https://web.mit.edu/dimitrib/www/RLCOURSECOMPLETE%202ndEDITI...
Re: Mathematical Foundations of Reinforcement Learning
#5The best lectures on Reinforcement Learning and related topics are by Dimitris Bertsekas: https://web.mit.edu/dimitrib/www/home.html
Would you mind explicitly indicating whether you have reviewed the submitted materials? And if so, why is it inferior to the material you linked?
Not trying to catch you, genuine interest.
Re: Mathematical Foundations of Reinforcement Learning
#6Another great resource on RL is Mykel Kochenderfer's suite of textbooks:
https://algorithmsbook.com/
Re: Mathematical Foundations of Reinforcement Learning
#7[dead]
Re: Mathematical Foundations of Reinforcement Learning
#8Also worth mentioning Murphy's WIP textbook[0] focused entirely on RL, which is an outgrowth of his excellent ML textbooks.
Re: Mathematical Foundations of Reinforcement Learning
#9Another great resource on RL is Mykel Kochenderfer's suite of textbooks: https://algorithmsbook.com/
These books are all RL? I’ve got the decision one, I didn’t think the other had anything to do with RL.
Re: Mathematical Foundations of Reinforcement Learning
#10The best lectures on Reinforcement Learning and related topics are by Dimitris Bertsekas: https://web.mit.edu/dimitrib/www/home.html
His books tend to be dry and geared towards researchers, in my opinion. He has a new one on RL: https://web.mit.edu/dimitrib/www/RLCOURSECOMPLETE%202ndEDITI...
I'm looking for content (researcher myself) -- mainly on the application side. Should I start with this one? Or anything else?
Very curious about RL for LLMs for example (using data from real use).