Theory of Reinforcement Learning Temporal Difference Methods

We analyse quantile temporal-difference learning (QTD), a distributional reinforcement learning algorithm that has proven to be a key component in several ...







Time-Dependent Density-Functional Theory (TD-DFT)
The majority of this lecture's content is from Bhandaru et al. [1]. This lecture presents a proof for analyzing Temporal difference (TD) Learning that is ...
TD 1 : Probability theory basics
We study the convergence behavior of the celebrated temporal-difference (TD) learning algorithm. By looking at the algorithm through the ...
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