From 9b9046b9966edb9988a49d3b1063a395f7265461 Mon Sep 17 00:00:00 2001
From: Denis Yarats <denisyarats@gmail.com>
Date: Mon, 23 Sep 2019 15:11:40 -0400
Subject: [PATCH] Update README.md

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 README.md | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

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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: