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pro vyhledávání: '"Shiroshita, Shinya"'
Fast Primal-Dual Update against Local Weight Update in Linear Assignment Problem and Its Application
We consider a dynamic situation in the weighted bipartite matching problem: edge weights in the input graph are repeatedly updated and we are asked to maintain an optimal matching at any moment. A trivial approach is to compute an optimal matching fr
Externí odkaz:
http://arxiv.org/abs/2208.11325
Inventory management in warehouses directly affects profits made by manufacturers. Particularly, large manufacturers produce a very large variety of products that are handled by a significantly large number of retailers. In such a case, the computati
Externí odkaz:
http://arxiv.org/abs/2204.13378
Autor:
Guss, William H., Castro, Mario Ynocente, Devlin, Sam, Houghton, Brandon, Kuno, Noboru Sean, Loomis, Crissman, Milani, Stephanie, Mohanty, Sharada, Nakata, Keisuke, Salakhutdinov, Ruslan, Schulman, John, Shiroshita, Shinya, Topin, Nicholay, Ummadisingu, Avinash, Vinyals, Oriol
Although deep reinforcement learning has led to breakthroughs in many difficult domains, these successes have required an ever-increasing number of samples, affording only a shrinking segment of the AI community access to their development. Resolutio
Externí odkaz:
http://arxiv.org/abs/2101.11071
Autor:
Nishiyama, Daisuke, Castro, Mario Ynocente, Maruyama, Shirou, Shiroshita, Shinya, Hamzaoui, Karim, Ouyang, Yi, Rosman, Guy, DeCastro, Jonathan, Lee, Kuan-Hui, Gaidon, Adrien
Publikováno v:
The 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC2020)
Automated Vehicles require exhaustive testing in simulation to detect as many safety-critical failures as possible before deployment on public roads. In this work, we focus on the core decision-making component of autonomous robots: their planning al
Externí odkaz:
http://arxiv.org/abs/2011.11991
Autor:
Shiroshita, Shinya, Maruyama, Shirou, Nishiyama, Daisuke, Castro, Mario Ynocente, Hamzaoui, Karim, Rosman, Guy, DeCastro, Jonathan, Lee, Kuan-Hui, Gaidon, Adrien
Publikováno v:
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, pp. 2103-2110
Traffic simulators are important tools in autonomous driving development. While continuous progress has been made to provide developers more options for modeling various traffic participants, tuning these models to increase their behavioral diversity
Externí odkaz:
http://arxiv.org/abs/2011.05741
Akademický článek
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We consider a dynamic situation in the weighted bipartite matching problem in which edge weights are repeatedly updated and each update occurs around a single vertex. Our objective is to maintain an optimal matching at any moment. A trivial approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56efaeedda69604b3788d407f256ebd8