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 # SAC+AE implementaiton in PyTorch
 
 ## Requirements
-The simplest way to install all required dependencies is to create an anaconda environment by running:
+We assume you have access to a gpu that can run CUDA 9.2. Then, the simplest way to install all required dependencies is to create an anaconda environment by running:
 ```
 conda env create -f conda_env.yml
 ```
+After the instalation ends you can activate your environment with:
+```
+source activate pytorch_sac_ae
+```
 
 ## Instructions
 To train an SAC+AE agent on the `cheetah run` task from image-based observations  run: