Neural networks made easy (Part 34): Fully Parameterized Quantile Function
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, 04-08-2023 at 02:37 AM (453 Views)
more...We continue studying distributed Q-learning algorithms. Earlier we have already considered two algorithms. In the first one [4], our model learned the probabilities of receiving a reward in a given range of values. In the second algorithm [5], we used a different approach to solving the problem. We trained the model to predict the reward level with a given probability.