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sparisi avatar sparisi commented on June 30, 2024

Hi, can you be a bit more specific?
What do you mean by "results of intrinsic reward"? Success rate averaged across all 10 environments after intrinsic-only pre-training? What results are you trying to replicate? (Can you reference a plot in the paper?)
What commands are you running?

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dong845 avatar dong845 commented on June 30, 2024

Hi, thank you for the reply. The training of Cbet can be split into two parts. And what I mean is the first part (pre-training) that trains without extrinsic reward. And the "mean_total_reward" I get is about 0.0014, which equals "mean_intrinsic_rewards". Then I see the plot 21 in appendix, which shows intrinsic reward of multi-env with random reset at pre-training stage can be between 0.1 and 1, which is much better than mine. So I just feel confused about the result I get and I want to know whether I missed something, because I read the code and parameters in it are same with what mentioned in the paper and I don't need to change anything. Thx

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