From 5a0c60fb0e217ed5859454f6f62bc202bfd2b0ec Mon Sep 17 00:00:00 2001
From: Jeffrey Shih <34355042+unityjeffrey@users.noreply.github.com>
Date: Tue, 19 Dec 2017 10:30:41 -0800
Subject: [PATCH] Added optional instructions

Setting these parameters will produce a very well trained model within 5-10 minutes for this exercise.  The thought is to unblock a first time user.
---
 docs/Getting-Started-with-Balance-Ball.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/docs/Getting-Started-with-Balance-Ball.md b/docs/Getting-Started-with-Balance-Ball.md
index d869d6b2d5..ab8a8ff280 100644
--- a/docs/Getting-Started-with-Balance-Ball.md
+++ b/docs/Getting-Started-with-Balance-Ball.md
@@ -51,8 +51,9 @@ In order to train the agents within the Ball Balance environment:
 
 1. Open `python/PPO.ipynb` notebook from Jupyter.
 2. Set `env_name` to the name of your environment file earlier.
-3. (optional) Set `run_path` directory to your choice.
-4. Run all cells of notebook with the exception of the last one under "Export the trained Tensorflow graph."
+3. (optional) In order to get the best results quickly, set `max_steps` to 50000, set `buffer_size` to 5000, and set `batch_size` to 512.  For this exercise, this will train the model in approximately ~5-10 minutes.
+4. (optional) Set `run_path` directory to your choice.
+5. Run all cells of notebook with the exception of the last one under "Export the trained Tensorflow graph."
 
 ### Observing Training Progress
 In order to observe the training process in more detail, you can use Tensorboard.