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pro vyhledávání: '"Thomas, Jonathan D."'
The emergence of mathematical concepts, such as number systems, is an understudied area in AI for mathematics and reasoning. It has previously been shown Carlsson et al. (2021) that by using reinforcement learning (RL), agents can derive simple appro
Externí odkaz:
http://arxiv.org/abs/2409.07170
Autor:
Krnjaic, Aleksandar, Steleac, Raul D., Thomas, Jonathan D., Papoudakis, Georgios, Schäfer, Lukas, To, Andrew Wing Keung, Lao, Kuan-Ho, Cubuktepe, Murat, Haley, Matthew, Börsting, Peter, Albrecht, Stefano V.
We consider a warehouse in which dozens of mobile robots and human pickers work together to collect and deliver items within the warehouse. The fundamental problem we tackle, called the order-picking problem, is how these worker agents must coordinat
Externí odkaz:
http://arxiv.org/abs/2212.11498
Autor:
Erdol, Hakan, Wang, Xiaoyang, Li, Peizheng, Thomas, Jonathan D., Piechocki, Robert, Oikonomou, George, Inacio, Rui, Ahmad, Abdelrahim, Briggs, Keith, Kapoor, Shipra
The vision of 5G lies in providing high data rates, low latency (for the aim of near-real-time applications), significantly increased base station capacity, and near-perfect quality of service (QoS) for users, compared to LTE networks. In order to pr
Externí odkaz:
http://arxiv.org/abs/2209.05874
Real-time control for robotics is a popular research area in the reinforcement learning community. Through the use of techniques such as reward shaping, researchers have managed to train online agents across a multitude of domains. Despite these adva
Externí odkaz:
http://arxiv.org/abs/2206.02462
Autor:
Wang, Xiaoyang, Thomas, Jonathan D, Piechocki, Robert J, Kapoor, Shipra, Santos-Rodriguez, Raul, Parekh, Arjun
Open Radio Access Network (ORAN) is being developed with an aim to democratise access and lower the cost of future mobile data networks, supporting network services with various QoS requirements, such as massive IoT and URLLC. In ORAN, network functi
Externí odkaz:
http://arxiv.org/abs/2103.02649
Autor:
Wang, Xiaoyang, Thomas, Jonathan D., Piechocki, Robert J., Kapoor, Shipra, Santos-Rodríguez, Raúl, Parekh, Arjun
Publikováno v:
In Computer Networks 7 April 2022 206
Publikováno v:
Click for resource.
Thesis (Ph. D.)--Drexel University, 2006.
Includes abstract and vita. Includes bibliographical references (leaves 170-193).
Includes abstract and vita. Includes bibliographical references (leaves 170-193).
Externí odkaz:
http://hdl.handle.net/1860/1228
Autor:
Li, Peizheng, Thomas, Jonathan D, Wang, Xiaoyang, Erdol, Hakan, Ahmad, Abdelrahim, Inacio, Rui, Kapoor, Shipra, Parekh, Arjun, Doufexi, Angela, Shojaeifard, Arman, Piechocki, Robert J
Publikováno v:
Li, P, Thomas, J D, Wang, X, Erdol, H, Ahmad, A, Inacio, R, Kapoor, S, Parekh, A, Doufexi, A, Shojaeifard, A & Piechocki, R J 2022 ' Sim2real for Reinforcement Learning Driven Next Generation Networks ' . < https://arxiv.org/abs/2206.03846 >
The next generation of networks will actively embrace artificial intelligence (AI) and machine learning (ML) technologies for automation networks and optimal network operation strategies. The emerging network structure represented by Open RAN (O-RAN)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2642::08410846338a87d1b6d1e73461e8dd64
https://hdl.handle.net/1983/f4b885fe-b86a-4c06-9ed5-9e88d9e7207a
https://hdl.handle.net/1983/f4b885fe-b86a-4c06-9ed5-9e88d9e7207a
Publikováno v:
In Science & Justice 2011 51(2):72-76
Autor:
Thomas, Jonathan D., Fussell, Garland, Sarkar, Sumona, Lowman, Anthony M., Marcolongo, Michele
Publikováno v:
In Acta Biomaterialia 2010 6(4):1319-1328