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pro vyhledávání: '"Luy, Julius"'
We study a sequential decision-making problem for a profit-maximizing operator of an Autonomous Mobility-on-Demand system. Optimizing a central operator's vehicle-to-request dispatching policy requires efficient and effective fleet control strategies
Externí odkaz:
http://arxiv.org/abs/2404.06975
Publikováno v:
International Conference on Learning Representations 2024
Large discrete action spaces (LDAS) remain a central challenge in reinforcement learning. Existing solution approaches can handle unstructured LDAS with up to a few million actions. However, many real-world applications in logistics, production, and
Externí odkaz:
http://arxiv.org/abs/2305.19891
Akademický článek
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Large discrete action spaces remain a central challenge for reinforcement learning methods. Such spaces are encountered in many real-world applications, e.g., recommender systems, multi-step planning, and inventory replenishment. The mapping of conti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::197eea599e2bbbcbf76bfc367909ca9d
http://arxiv.org/abs/2305.19891
http://arxiv.org/abs/2305.19891