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The optimality tightening paper makes some really impressive claims, about the speed that they learn. I was just wondering if you've managed to reproduce any of their results? I just saw a theano implementation by one of the authors here
Thanks for your advice,
Aj
The text was updated successfully, but these errors were encountered:
AjayTalati
changed the title
Which is the best?
Which is the fastest learner?
Apr 28, 2017
Both Double-Q learning and Persistent Advantage Learning seem to work well so I would start with them along with the standard DQN algorithm
My first impression of optimality tightening is that it doesn't seem to give too much improvement, but I haven't tried it out on many games and it's quite possible that there's a bug somewhere. I haven't been trying to reproduce results so much as learn how all these algorithms work
Hi,
wow this is really a great repository 馃憤
Which method do you recommend to try first?
The optimality tightening paper makes some really impressive claims, about the speed that they learn. I was just wondering if you've managed to reproduce any of their results? I just saw a theano implementation by one of the authors here
Thanks for your advice,
Aj
The text was updated successfully, but these errors were encountered: