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pro vyhledávání: '"Cheng, Shih-Fen"'
Freight forwarding plays a crucial role in facilitating global trade and logistics. However, as the freight forwarding market is extremely fragmented, freight forwarders often face the issue of not being able to fill the available shipping capacity.
Externí odkaz:
http://arxiv.org/abs/2405.14198
Complex planning and scheduling problems have long been solved using various optimization or heuristic approaches. In recent years, imitation learning that aims to learn from expert demonstrations has been proposed as a viable alternative to solving
Externí odkaz:
http://arxiv.org/abs/2403.17456
In large-scale multi-agent systems like taxi fleets, individual agents (taxi drivers) are self-interested (maximizing their own profits) and this can introduce inefficiencies in the system. One such inefficiency is with regard to the "required" avail
Externí odkaz:
http://arxiv.org/abs/2303.04337
Autor:
Shao, Qian, Cheng, Shih-Fen
Optimizing delivery routes for last-mile logistics service is challenging and has attracted the attention of many researchers. These problems are usually modeled and solved as variants of vehicle routing problems (VRPs) with challenging real-world co
Externí odkaz:
http://arxiv.org/abs/2303.04333
In domains where agents interact strategically, game theory is applied widely to predict how agents would behave. However, game-theoretic predictions are based on the assumption that agents are fully rational and believe in equilibrium plays, which u
Externí odkaz:
http://arxiv.org/abs/2302.06033
Realistic fine-grained multi-agent simulation of real-world complex systems is crucial for many downstream tasks such as reinforcement learning. Recent work has used generative models (GANs in particular) for providing high-fidelity simulation of rea
Externí odkaz:
http://arxiv.org/abs/2201.09644
Akademický článek
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Autor:
Lee, Kwan Ok, Cheng, Shih-Fen
Publikováno v:
In Habitat International January 2023 131
Publikováno v:
In Transportation Research Part C March 2022 136
Congestion games model a wide variety of real-world resource congestion problems, such as selfish network routing, traffic route guidance in congested areas, taxi fleet optimization and crowd movement in busy areas. However, existing research in cong
Externí odkaz:
http://arxiv.org/abs/1210.4848