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multiagent_learning

Fork includes 6 new agents definitions:

  • Centralized with avg time
  • Intersection with avg time
  • Link with avg time
  • Centralized with both time
  • Intersection with both time
  • Link with both time

Installation

Linux

Install system dependencies:

sudo apt install libboost-dev libeigen3-dev libyaml-cpp-dev

In the working folder of your choice, clone the project code:

git clone https://github.com/Kallinteris-Andreas/Warehouse-Automation-CCEA.git

Build the code:

cd build
cmake ..
make

Running preconfigured projects

Run the project configured by config.yaml using six threads:

./testWarehouse -c ../config.yaml -t 6

Consult the documentation (Multiagent_neuro_evolution_for_learning_traffic_management_policies.pdf) for details about configuration file options.

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Top level project files for multiagent learning

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  • C++ 96.4%
  • MATLAB 2.7%
  • CMake 0.9%