Foundations of RL
Rayadurgam Srikant (University of Illinois Urbana-Champaign)
https://simons.berkeley.edu/talks/fou...
Data-Driven Decision Processes Boot Camp
This part of the tutorial will build upon the first part of the tutorial on MDPs and focus on reinforcement learning. We will present three algorithms: TD learning, Q-Learning and Natural Policy Gradient, and outline the key ideas behind obtaining finite-time performance bounds for each of these algorithms.