Theoretical Foundations of Reinforcement Learning
Alekh Agarwal, Akshay Krishnamurthy, and John Langford (FOCS2020 Tutorial)
Alekh Agarwal, Akshay Krishnamurthy, and John Langford
This is a tutorial on the theoretical foundations of reinforcement learning covering many new developments over the last half-decade which substantially deepen our understanding of what is possible and why. In addition, we cover various important open problems. The tutorial has 3 key parts: The information theory of reinforcement learning, optimization/gradient descent in reinforcement learning, and latent state discovery.
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Reference: http://hunch.net/~tforl