From 93331842ba950aa81d24a5572124d7f9d0fe32f3 Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Thu, 9 May 2024 00:50:40 +0900 Subject: [PATCH] refactor: update configuration_tdmpc.py paramters -> parameters --- lerobot/common/policies/tdmpc/configuration_tdmpc.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lerobot/common/policies/tdmpc/configuration_tdmpc.py b/lerobot/common/policies/tdmpc/configuration_tdmpc.py index 82e3a5075..00d00913d 100644 --- a/lerobot/common/policies/tdmpc/configuration_tdmpc.py +++ b/lerobot/common/policies/tdmpc/configuration_tdmpc.py @@ -47,7 +47,7 @@ class TDMPCConfig: elite_weighting_temperature: The temperature to use for softmax weighting (by trajectory value) of the elites, when updating the gaussian parameters for CEM. gaussian_mean_momentum: Momentum (α) used for EMA updates of the mean parameter μ of the gaussian - paramters optimized in CEM. Updates are calculated as μ⁻ ← αμ⁻ + (1-α)μ. + parameters optimized in CEM. Updates are calculated as μ⁻ ← αμ⁻ + (1-α)μ. max_random_shift_ratio: Maximum random shift (as a proportion of the image size) to apply to the image(s) (in units of pixels) for training-time augmentation. If set to 0, no such augmentation is applied. Note that the input images are assumed to be square for this augmentation.