Christiane Wiebel, Matti Krüger, Patricia Wollstadt,
"Measuring cooperation in Hanabi agents using information theory",
International Conference on Hybrid Human-Artificial Intelligence (HHAI 2023) , 2023.
Abstract
We propose to use a novel measure from information theory, called synergistic information, to measure cooperativity between two interacting agents. The synergy quantifies joint effects of two inputs towards a target that can not be obtained from either input alone. We argue that this definition of the synergy corresponds to popular notions of cooperation from prior art. In particular, we propose to estimate the synergy between two agents' actions...
Download Bibtex file
Download PDF
Andreas Neofytou, Jaeyub Hyun, Thiago Rios, Mariusz Bujny, Stefan Menzel, Hyunsun Kim,
"Coupled Multidisciplinary Topology Optimization Methodology and Platform: Noise Minimization in Vehicle Cabin using 3D Level Set Topology Optimization considering Acoustic-structure Interaction",
HRI-EU, 2023.
Abstract
This report summarizes the second year research of the project Coupled Multidisciplinary Topology Optimization Methodology and Platform. The modularized level set topology optimization (LSTO) methodology developed in the first year was applied to solve a vibroacoustic optimization problem in a simplified 3D vehicle cabin considering acoustic-structure interaction. Our objective was to minimize the noise generated at different points in the cabin ...
Download Bibtex file
Per Mail Request
Linus Ekstrom, Noah Wach, Manuel Rudolph, Fred Jendrzejewski, Sebastian Schmitt,
"Data re-uploading with a single qudit",
European Quantum AI summer school, 2023.
Abstract
Poster presentation at European Quantum AI summer school. ...
Download Bibtex file
Per Mail Request
Leonore Röseler, Ingo Scholtes, Christoph Gote,
"A Network Perspective on the Influence of Code Review Bots on the Structure of Developer Collaborations",
arXiv, 2023.
Abstract
Background: Despite a growing body of literature on the impact of software bots on open source software development teams, their effects on team communication, coordination, and collaboration practices are not well understood. Bots can have negative consequences, such as producing information overload or reducing interactions between developers. Objective: The objective of this study is to investigate the effect of specific GitHub Actions on the ...
Download Bibtex file
Per Mail Request
Steffen Limmer, Johannes Varga, Guenther Raidl,
"Large Neighborhood Search for Electric Vehicle Fleet Scheduling",
Energies Journal, 2023.
Abstract
This work considers the problem of planning how a fleet of shared electric vehicles is charged and used for serving a set of reservations. While exact approaches can be used to efficiently solve small to medium-sized instances of this problem, heuristic approaches have been demonstrated to be superior in larger instances. The present work proposes a large neighborhood search approach for solving this problem, which employs a mixed integer linear ...
Download Bibtex file
Download PDF
Yannick Deller, Sebastian Schmitt, Maciej Lewenstein, Steve Lenk, Marika Federer, Fred Jendrzejewski, Philipp Hauke, Valentin Kasper,
"Quantum approximate optimization algorithm for qudit systems",
Physical Review A, vol. 107, pp. 062410 , 2023.
Abstract
A frequent starting point of quantum computation platforms are two-state quantum systems, i.e., qubits. However, in the context of integer optimization problems, relevant to scheduling optimization and operations research, it is often more resource-efficient to employ quantum systems with more than two basis states, so-called qudits. Here, we discuss the quantum approximate optimization algorithm (QAOA) for qudit systems. We illustrate how the QA...
Download Bibtex file
Download PDF
Thomas Schmitt, Jens Engel, Tobias Rodemann,
"Regression-Based Model Error Compensation for a Hierarchical MPC Building Energy Management System",
7th IEEE Conference on Control Technology and Applications (CCTA) 2023, 2023.
Abstract
One of the major challenges in the development of energy
management systems (EMSs) for complex buildings is accurate
modeling. To address this, we propose an EMS, which
combines a Model Predictive Control (MPC) approach with
data-driven model error compensation. The hierarchical MPC
approach consists of two layers: An aggregator controls the
overall energy flows of the building in an aggregated
perspective, while a distributor distributes ...
Download Bibtex file
Download PDF
Anna Belardinelli, Chao Wang, Michael Gienger, Daniel Tanneberg, Stephan Hasler, Theodoros Stouraitis,
"AR-mediated explainability for teaching and cooperation",
Second TRR 318 Conference: Measuring Understanding, 2023.
Abstract
The current spread of social and assistive robotics applications is increasingly highlighting the need for robots that can be easily
taught and interacted with, even by users with no technical background. Still, it is often difficult to grasp what such robots know
or to assess if a correct representation of the task is being formed. Augmented Reality (AR) has the potential to bridge this gap. We
demonstrate three use cases where AR design elem...
Download Bibtex file
Per Mail Request
Sebastian Brulin,
"Multi-Objective Bi-level Optimization Approach for Network Design Problems",
MATSim User Meeting 2023, 2023.
Abstract
This paper presents a novel study in the field of Network Design Problems (NDPs) with a particular focus on multi-stakeholder situations in city planning, addressing the complexities of balancing profit, fairness, and system efficiency. A new multi-objective bi-level optimization framework is proposed, which expands upon traditional NDP methodologies by incorporating dynamic demand and supply-side information. Our method moves beyond standard NDP...
Download Bibtex file
Per Mail Request
Ahmed Sadik, Antonello Ceravola, Frank Joublin, Jibesh Patra,
"Analysis of ChatGPT on Source Code ",
ArXiv, 2023.
Abstract
This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using machine learning and artificial intelligence techniques, and they offer several benefits to developers and programmers. While these models can save time and provide highly accurate results, they are not yet advanced enough to replace human programmers entirely. The paper ...
Download Bibtex file
Download PDF
1 ...
2 3 4 5
6 7 ...
151
