@article{jarosz2024towards,
  title = {Towards Efficient Memory and Type Safe Modelling of Multi-agent Games: Development of Amfiteatr - Simulation and Reinforcement Learning Tool Written in Rust},
  author = {Robert JAROSZ},
  year = 2024,
  url = {https://ibimapublishing.com/articles/JSSD/2024/340710/},
  journal = {Journal of Software and Systems Development},
  volume = 2024,
  pages = 11,
  doi = 10.5171/2024.340710,
  abstract = {This paper presents conception and architecture description of memory and type safe library as a tool to simulate multi-agent conflict situations with reinforcement learning support. The presented work discusses the creation of computer models compatible with the conception of games in extensive form. The document presents an approach addressing generic game theory problems with asymmetric players using different information sets and policy types while maintaining type safety. The conception of library is compared to popular PettingZoo library marking community standard for multi agent-reinforcement learning problem. The discussed comparison addresses information flow inside models and performance. The possibility of distributing models across network connected hosts is briefly discussed. At the end of the paper, the current state of the library is discussed and direction for future development is pointed.},
  keywords = {simulation, reinforcement-learning, Rust, multi-agent,},
  note = Article ID: 340710
}