From d0207f9d33809b1c03263b5de2b2c4ad32357853 Mon Sep 17 00:00:00 2001 From: Jack Firth Date: Tue, 19 Dec 2023 23:30:58 -0800 Subject: [PATCH] Update README.md Fix a typo --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 43de3a13..061e7cf4 100644 --- a/README.md +++ b/README.md @@ -61,7 +61,7 @@ The architecture of the training pipeline is shown as follows: * For GPUs with 10G memory instead of 20G memory, you can allocate 0.25 gpu for each GPU maker (`@ray.remote(num_gpus=0.25)`) in `core/reanalyze_worker.py`. ### New environment registration -If you wan to apply EfficientZero to a new environment like `mujoco`. Here are the steps for registration: +If you want to apply EfficientZero to a new environment like `mujoco`, here are the steps for registration: 1. Follow the directory `config/atari` and create dir for the env at `config/mujoco`. 2. Implement your `MujocoConfig(BaseConfig)` class and implement the models as well as your environment wrapper. 3. Register the case at `main.py`.