KI-Training

Component for training the AI.

Usage

Argument 1: match config as json Argument 2: team config for left team as json Argument 3: team config for right team as json Argument 4: learning rate Argument 5: discount rate

Start training with pretrained net:

Argument 6: estimator config as json (will be used for both teams)

Using experience replay:

Argument 6: Directory with sub directories containing the experience data Argument 7: Frequency of experience epochs (every <value> epoch will be an experience replay epoch)

Using pretrained net and experience replay

Argument 6: estimator config as json (will be used for both teams) Argument 7: Directory with sub directories containing the experience data Argument 8: Frequency of experience epochs (every <value> epoch will be an experience replay epoch)

Getting started

You can choose between using Docker or manually installing all dependencies. Docker is the preferred method as it already installs the toolchain and all dependencies.

Docker

In the root directory of the project build the docker image ("kitraining" is the name of the container, this can be replaced by a different name): ``` docker build -t kitraining . ```

Now start the container, you need to map the external file (match.json) to an internal file: ``` docker run -v /match.json:match.json kitraining ./KiTraining /match.json ``` That's it you should now have a running docker instance.

Manually installing the Server

If you need to debug the program it can be easier to do this outside of docker.

Prerequisites

• A C++17 compatible Compiler (e.g. GCC-8)
• CMake (min 3.10) and GNU-Make
• Adress-Sanitizer for run time checks
• SopraGameLogic
• SopraMessages
• SopraUtil
• SopraAITools
• MLP
• Either a POSIX-Compliant OS or Cygwin (to use pthreads)
• Optional: Google Tests and Google Mock for Unit-Tests

Compiling the Application

In the root directory of the project create a new directory (in this example it will be called build), change in this directory.

Next generate a makefile using cmake: ``` cmake .. ``` if any error occurs recheck the prerequisites. Next compile the program: ``` make `` you can now run the program by executing the createdKiTrainingfile: `` ./KiTraining ```

External Librarys

• SopraGameLogic
• SopraMessages
• SopraUtil
• SopraAITools
• MLP
• nlohmann::json

Doxygen Dokumentation

• Master Branch
• Develop Branch

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