Searched for: subject%3A%22reinforcement%255C+learning%22
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Zhang, Yingqian (author), Bliek, Laurens (author), da Costa, Paulo (author), Refaei Afshar, Reza (author), Reijnen, Robbert (author), Catshoek, T. (author), Vos, D.A. (author), Verwer, S.E. (author), Schmitt-Ulms, Fynn (author)
This paper reports on the first international competition on AI for the traveling salesman problem (TSP) at the International Joint Conference on Artificial Intelligence 2021 (IJCAI-21). The TSP is one of the classical combinatorial optimization problems, with many variants inspired by real-world applications. This first competition asked the...
journal article 2023
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Zhang, Rongkai (author), Zhang, Cong (author), Cao, Zhiguang (author), Song, Wen (author), Tan, Puay Siew (author), Zhang, Jie (author), Wen, Bihan (author), Dauwels, J.H.G. (author)
We propose a manager-worker framework (the implementation of our model is publically available at: https://github.com/zcaicaros/manager-worker-mtsptwr) based on deep reinforcement learning to tackle a hard yet nontrivial variant of Travelling Salesman Problem (TSP), i.e. multiple-vehicle TSP with time window and rejections (mTSPTWR), where...
journal article 2023