Differentially Private Multi-Agent Planning for Logistic-like Problems. (arXiv:2008.06832v2 [cs.AI] UPDATED)

Planning is one of the main approaches used to improve agents' working
efficiency by making plans beforehand. However, during planning, agents face
the risk of having their private information leaked. This paper proposes a
novel strong privacy-preserving planning approach for logistic-like problems.
This approach outperforms existing approaches by addressing two challenges: 1)
simultaneously achieving strong privacy, completeness and efficiency, and 2)
addressing communication constraints. These two challenges are prevalent in
many real-world applications including logistics in military environments and
packet …

agent planning problems