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A Holistic Assessment Method For Deep Reinforcement Learning

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HAM4DRL

A Holistic Assessment Method For Deep Reinforcement Learning

Open a Terminal

git clone git@github.com:YD-19/HAM4DRL.git --recurse-submodules

if you want to train in our small environment, you need to modify the description file in turtlebot3 package.

roscd turtlebot3_description/urdf && gedit turtlebot3_waffle_pi.gazebo.xacro

find the base_scan model and modify as follow:

<scan>

<horizontal>

<samples>24</samples>

<resolution>1</resolution>

<min_angle>-1.57</min_angle>

<max_angle>1.57</max_angle>

</horizontal>

</scan>

After modification, make the files

cd ~/HAM4DRL && catkin_make

Open a new terminal:

source ~/HAM4DRL/devel/setup.bash

roslaunch turtlebot_DDPG acps_ddpg.launch

Open another terminal:

source ~/HAM4DRL/devel/setup.bash

rosrun turtlebot_DDPG ddpg_main_1804.py

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