• Corpus ID: 235422263

Solving Graph-based Public Good Games with Tree Search and Imitation Learning

@inproceedings{Darvariu2021SolvingGP,
  title={Solving Graph-based Public Good Games with Tree Search and Imitation Learning},
  author={Victor-Alexandru Darvariu and Stephen Hailes and Mirco Musolesi},
  booktitle={NeurIPS},
  year={2021}
}
Public goods games represent insightful settings for studying incentives for individual agents to make contributions that, while costly for each of them, benefit the wider society. In this work, we adopt the perspective of a central planner with a global view of a network of self-interested agents and the goal of maximizing some desired property in the context of a best-shot public goods game. Existing algorithms for this known NP-complete problem find solutions that are sub-optimal and cannot… 

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