A list of courses and books on RL and ML with online access
Awesome courses on RL and ML with online access:
- CMPUT 653 RL theory by Csaba Szepesvári (with lecture notes & videos)
- Statistical RL by Nan Jiang (with lecture notes & videos)
- Statistical Machine Learning by Ryan Tibshirani and Larry Wasserman (with lecture notes & videos)
- Introduction to RL by Martha White and Adam White (Coursera)
Awesome courses on statistics with online access:
- STAT 571 Probability and Measure by Adam B Kashlak (with lecture notes & videos)
- High-Dimensional Probability by Roman Vershynin (with lecture notes & videos)
- Uncertain: Modern Topics in Uncertainty Estimation by Aaron Roth (with lecture notes & videos)
Awesome books on RL and ML with online access:
- Bandit Algorithms by Tor Lattimore and Csaba Szepesvári
- Reinforcement Learning: Theory and Algorithms by Alekh Agarwal, Nan Jiang, Sham Kakade, and Wen Sun
- Learning Theory from First Principles by Francis Bach
- Mathematical Analysis of Machine Learning Algorithms by Tong Zhang
- Understanding Machine Learning: From Theory to Algorithms
