Agree ... Any suggestions / guidelines of how we could make it more scientifically rigorous and produce more trustworthy results ?
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Thanks to all for the references, they seem like a nice read , thanks !
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"How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments" https://arxiv.org/abs/1806.08295
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There is also this great blog post by the same author (Cedric Colas) that's a bit more accessible:https://openlab-flowers.inria.fr/t/how-many-random-seeds-should-i-use-statistical-power-analysis-in-deep-reinforcement-learning-experiments/457 …
Kraj razgovora
Novi razgovor -
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We also wrote a hitchhicker's guide to statistical comparisons for RL, which I believe is more concise and clear: https://arxiv.org/abs/1904.06979
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