A Short Tutorial on Reinforcement Learning. - IFIP Open Digital Library

Temporal difference (TD) methods constitute a class of methods for learning predictions in multi-step prediction problems, parameterized by a recency factor .







Sequential decision making Control: SARSA & Q-learning
Figure 6.12: Q-learning: An off-policy TD control algorithm. Its simplest form, one-step Q-learning, is defined by. Q(St,At) ? Q(St,At) + ?[Rt+1 + ? max a. Q ...
Reinforcement Learning - Rémy Degenne
? Q-Learning (and more generaly TD methods) can be very slow to converge... Ü Let's try it on our Retail Store Management use case. Rémy Degenne | Inria ...
learning in Deep Reinforcement Learning to Play Atari Games
In order to accelerate the learning process in high dimensional reinforcement learning problems, TD methods such as Q-learning and Sarsa are usually combined ...



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Lecture 10: Q-Learning, Function Approximation, Temporal ...