Deep reinforecment learning(DRL) is an algorithm for AI agent to play against classic game environment that and distributed under the 3-Clause <License> license.
The project was started in 2014 by a group in University of Helsinki as a reinforcement-related project. See the AUTHORS.rst file for a complete list of contributors.
It is currently maintained by the team of initial contributors.
is tested to work under <System>
The required dependencies to build the software <Dependencies> and a working C/C++ compiler.
For running the examples <Dependencies> is required and for running the tests you need <Dependencies>
This configuration matches the <Distribution> release from <Time>.
You can check the latest sources with the command:
git clone https://github.com/gaoyuankidult/DRL-AI.git
or if you have write privileges:
git clone [email protected]:gaoyuankidult/DRL-AI.git
Quick tutorial on how to go about setting up your environment to contribute to
Before opening a Pull Request, have a look at the <Link> full Contributing page to make sure your code complies with our guidelines: <Link>
After installation, you can launch the test suite from outside the source directory (you will need to have nosetests installed):
$ <Command>
See the web page <<Link>> for more information.