October 2019
Intermediate to advanced
340 pages
8h 39m
English
Content preview from PyTorch 1.x Reinforcement Learning Cookbook
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Solving the Taxi problem with SARSA
In this recipe, we will solve the Taxi environment with the SARSA algorithm and fine-tune the hyperparameters with the grid search algorithm.
We will start with our default set of hyperparameter values under the SARSA model. These are selected based on intuition and a number of trials. Moving on, we will come up with the best set of values.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.