DPPO with Summed Likelihood (QSM-PG) #13
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allenzren
reviewed
Nov 25, 2024
| obs_repeat = { | ||
| "state": obs["state"].repeat_interleave(self.ft_denoising_steps, dim=0) | ||
| } | ||
| denoising_inds = denoising_inds.repeat_interleave(chains_prev.shape[0]) |
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This is wrong? obs_repeat now has obs_1, obs_1, obs_1, ... obs_2, obs_2,...., but denoising_inds has 0, 0,0,0,0,,,,...1,1,1,1,1, .....
I think you want repeat instead of repeat_interleave for denoising_inds
allenzren
reviewed
Nov 25, 2024
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| # exponentially interpolate between the base and the current clipping value over denoising steps and repeat | ||
| t = (denoising_inds.float() / (self.ft_denoising_steps - 1)).to(self.device) | ||
| t = t[ |
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this needs to be modified too then I think
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Take expectation over env steps and sum over all denoising steps.
This change is