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 GamesIn order to accelerate the learning process in high dimensional reinforcement learning problems, TD methods such as Q-learning and Sarsa are usually combined ... Gradient Temporal-Difference Learning with Regularized CorrectionsWe demonstrate, for the first time, that Gra- dient TD methods can outperform Q-learning when using neural networks, in two classic control domains and two. Temporal Difference (Sarsa and Q-Learning)TD methods update their es>mates based in part on other es>mates. They learn a guess from a guess. Is this a good thing to do? Page 21 ...
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