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Fix a typo #46

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -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`.
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