DRL for Wargaming

Code for the paper "Deep Reinforcement Learning in Wargaming".

The code has been tested in Windows with Python version 3.11. The required packages are listed in requirements.txt.

The learning scripts are located into the solvers folder. Before running the cmo experiments, that requires the Professional Edition of "Command: modern operations" to be installed, you have to checks the paths in:

• cmo_instance.py (CMO_EXECUTABLE variable)
• destpat_env_cmo.py (scenario_file and lua_helpers_file variables)
• flytozurich_env_cmo.py (scenario_file and lua_helpers_file variables)

to reflect the ones in your installation.

To run the solvers scripts, the following folders must be in you PYTHONPATH variable:

• algorithms/mcts
• cmoclient
• warsim

Please use this bibtex if you want to cite the paper in your publications:

@article{drlwargaming2026,
  author       = {Giacomo, Del Rio and Oleg, Szehr and Alessandro, Antonucci and Matthias, Sommer and Michael, Ru{\"e}gsegger},
  title        = {Deep Reinforcement Learning in Wargaming},
  year         = {2026},
  journal      = {Journal of Aerospace Information Systems}
  volume       = {23}
  number       = {4}
  pages        = {322--336}
  month        = {apr}
  doi          = {10.2514/1.I011766}
}

MIT License

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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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