We changed our privacy policy. Read more.
3

I wonder how expert AI researchers deal with that, do they perform multiple experiments, even if this takes extremely long? Do they draw conclusions from single runs? Unfortunately, the question you ask in the main body of your question here ("how do expert AI researchers do things") often turns out to actually be different from the question in ...


1

In addition to the other good answer, if you can afford the luxury of running your experiments multiple times, you can also use hypothesis testing to test whether there is any significant difference between the performance (e.g. accuracy) of the two models. Hypothesis testing is not widely used (or, at least, reported in research papers) in the ML/DL ...


1

You can find information similar to exposed by Neil, but with more theoretical detail, in the book Deep Learning (Goodfellow et al., 2016) in the chapter 10 (Recurrent networks), more specifically in 10.2.3 Recurrent Networks as Directed Graphical Models and other subchapters. Additional, related with pointer networks there are people changing the LSTM with ...


1

I do not think there is one standard way to do this, it will depend too much on context. Ultimately you want the agent to output a stop action that is different from a continue action. That stop/continue choice could either be part of the existing action encoding, additional data in parallel with the action sequence, or an entirely separate action choice on ...


Only top voted, non community-wiki answers of a minimum length are eligible