no code implementations • 11 Nov 2023 • Alexander Johansson, Ehsan Nekouei, Xiaotong Sun, Karl Henrik Johansson, Jonas Mårtensson
We first show that the optimal release policy in the decentralized case, where the hubs do not exchange information, is to release all trucks at the hub when the number of trucks exceeds a threshold computed by dynamic programming.
1 code implementation • 25 Sep 2023 • Xiaotong Sun, Peijie Qiu
In this paper, we leverage the strengths of both neural networks and tree-based methods, capitalizing on their ability to approximate intricate functions while maintaining interpretability.
no code implementations • 23 Jun 2022 • Xiaotong Sun, Charalampos Stasinakis, Georgios Sermpinis
By using Aave as a case study, we find that liquidity risks are highly volatile and show complex effects on Aave, and liquidity in Aave may affect across on-chain lending market.
no code implementations • 17 Feb 2022 • Alexander Johansson, Jonas Mårtensson, Xiaotong Sun, Yafeng Yin
The profit of each fleet incorporates platooning rewards and costs for waiting at hubs.