Zobrazeno 1 - 10
of 5 239
pro vyhledávání: '"Dijkman, A."'
Robotics tasks are highly compositional by nature. For example, to perform a high-level task like cleaning the table a robot must employ low-level capabilities of moving the effectors to the objects on the table, pick them up and then move them off t
Externí odkaz:
http://arxiv.org/abs/2411.09052
Autor:
Temizöz, Tarkan, Imdahl, Christina, Dijkman, Remco, Lamghari-Idrissi, Douniel, van Jaarsveld, Willem
Deploying deep reinforcement learning (DRL) in real-world inventory management presents challenges, including dynamic environments and uncertain problem parameters, e.g. demand and lead time distributions. These challenges highlight a research gap, s
Externí odkaz:
http://arxiv.org/abs/2411.00515
Robotic affordances, providing information about what actions can be taken in a given situation, can aid robotic manipulation. However, learning about affordances requires expensive large annotated datasets of interactions or demonstrations. In this
Externí odkaz:
http://arxiv.org/abs/2405.03865
Autor:
Dijkman, Jacobus, Dijkstra, Marjolein, van Roij, René, Welling, Max, van de Meent, Jan-Willem, Ensing, Bernd
The intrinsic Helmholtz free-energy functional, the centerpiece of classical density functional theory (cDFT), is at best only known approximately for 3D systems. Here we introduce a method for learning a quasi-exact neural-network approximation of t
Externí odkaz:
http://arxiv.org/abs/2403.15007
Autor:
Ermolov, Aleksandr, Kadambi, Shreya, Arnold, Maximilian, Hirzallah, Mohammed, Amiri, Roohollah, Singh, Deepak Singh Mahendar, Yerramalli, Srinivas, Dijkman, Daniel, Porikli, Fatih, Yoo, Taesang, Major, Bence
Radio signals are well suited for user localization because they are ubiquitous, can operate in the dark and maintain privacy. Many prior works learn mappings between channel state information (CSI) and position fully-supervised. However, that approa
Externí odkaz:
http://arxiv.org/abs/2402.09948
Autor:
Matthias Licheri, Manon Flore Licheri, Lukas Probst, Cora Sägesser, Pascal Bittel, Franziska Suter-Riniker, Ronald Dijkman
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Monkeypox virus (MPXV) is the zoonotic agent responsible for mpox, an often-self-limiting pox-like disease. Since May 2022, an outbreak characterized by increased human-to-human transmission was detected outside the endemic regions. Whole ge
Externí odkaz:
https://doaj.org/article/d9c9d72e456e4cd1be378e91b48fedc9
Robotic affordances, providing information about what actions can be taken in a given situation, can aid robotic manipulation. However, learning about affordances requires expensive large annotated datasets of interactions or demonstrations. In this
Externí odkaz:
http://arxiv.org/abs/2308.14915
Autor:
Vazifehdoostirani, Mozhgan, Genga, Laura, Lu, Xixi, Verhoeven, Rob, van Laarhoven, Hanneke, Dijkman, Remco
Process pattern discovery methods (PPDMs) aim at identifying patterns of interest to users. Existing PPDMs typically are unsupervised and focus on a single dimension of interest, such as discovering frequent patterns. We present an interactive multi
Externí odkaz:
http://arxiv.org/abs/2308.14475
Dynamic task assignment involves assigning arriving tasks to a limited number of resources in order to minimize the overall cost of the assignments. To achieve optimal task assignment, it is necessary to model the assignment problem first. While ther
Externí odkaz:
http://arxiv.org/abs/2306.02910
Autor:
Middelhuis, J., Bianco, R. Lo, Scherzer, E., Bukhsh, Z. A., Adan, I. J. B. F., Dijkman, R. M.
Efficient allocation of resources to activities is pivotal in executing business processes but remains challenging. While resource allocation methodologies are well-established in domains like manufacturing, their application within business process
Externí odkaz:
http://arxiv.org/abs/2304.09970