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Gradient clipping and reward normalization parameters #18

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danijar opened this issue Jul 22, 2016 · 0 comments
Open

Gradient clipping and reward normalization parameters #18

danijar opened this issue Jul 22, 2016 · 0 comments

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@danijar
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danijar commented Jul 22, 2016 •
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Hi there, cool project! I'm trying to reproduce the A3C results with my own implementation and have two questions regarding the Dr. Mnih confirmed parameters on the Wiki page: (1) There was no loss clipping. The A3C paper does mention gradient clipping however which is very similar I believe. (2) In the original DQN paper they normalized rewards by sign(R(s)) rather than max(0, min(R(s), 1) as listed in the Wiki. Could you provide some clarification on these two points, please?
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