From f12da640ecbbc4a8d2e372ba8d3c8decb3a7961a Mon Sep 17 00:00:00 2001 From: Fan Ziqi Date: Sat, 2 Dec 2023 22:38:48 +0800 Subject: [PATCH] docs: fix `legged_gym` in train document --- legged_gym/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/legged_gym/README.md b/legged_gym/README.md index f4b8f29..9026d3c 100644 --- a/legged_gym/README.md +++ b/legged_gym/README.md @@ -27,9 +27,9 @@ This is the tutorial for training the skill policy and distilling the parkour po The distillation is done in multiprocess. In general, you need at least 2 processes, each with 1 GPU, and can access a shared folder. - With `python legged/scripts/train.py --headless --task a1_distill` you launch the trainer. The process will prompt you to launch a collector process, where the log directory is corresponding to the task. + With `python legged_gym/scripts/train.py --headless --task a1_distill` you launch the trainer. The process will prompt you to launch a collector process, where the log directory is corresponding to the task. - With `python legged/scripts/collect.py --headless --task a1_distill --load_run {your training run}` you lauched the collector. The process will load the training policy and start collecting the data. The collected data will be saved in the directory prompted by the trainer. Remove it after you finish distillation. + With `python legged_gym/scripts/collect.py --headless --task a1_distill --load_run {your training run}` you lauched the collector. The process will load the training policy and start collecting the data. The collected data will be saved in the directory prompted by the trainer. Remove it after you finish distillation. ### Train a walk policy ###