Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Groningen
- CNRS
- Cranfield University
- RMIT University
- University of Bergen
- ;
- ; University of Aarhus
- Aalborg University
- CWI
- ETH Zürich
- Ghent University
- Inria, the French national research institute for the digital sciences
- Linköping University
- Max Planck Institute for Sustainable Materials •
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Technical University of Munich
- University of Adelaide
- University of Bremen •
- Uppsala universitet
- Utrecht University
- 11 more »
- « less
-
Field
-
to human and environmental interactions across various sectors such as healthcare, education, and urban planning. The primary aim of this project is to develop Multi-Intelligence Agents (MIAs) that combine
-
interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
-
May 2025 Apply now In human society, communication is an effective mechanism for coordinating the behaviors of humans. In the field of deep multi-agent reinforcement learning (MARL), agents can also
-
experience in the following fields. Cyber-physical modelling and simulation Digital Twins Autonomous Agents and Multi-Agent Systems Machine Learning and MLOps Probability & Statistics incl. Python/R Place of
-
application! We are looking for one or two PhD students in Multiagent Automatic Control at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be
-
: Springer, 2011, pp. 34–48. doi: 10.1007/978-3-642-23808-6_3. [4] C. F. Hayes et al., ‘A practical guide to multi-objective reinforcement learning and planning’, Auton. Agents Multi-Agent Syst., vol
-
Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
-
of the PhD student based at CWI in Amsterdam will study integrated hydrogen-electricity markets. In particular techniques from Artificial Intelligence and multi-agent systems for modelling new types of markets
-
, flexibility, and adaptability of autonomous systems. Address multi-agent operations, where interactions between agents are intricate and interconnected. Ensure that the develop methodologies provide
-
), this PhD aims to develop new approaches for multi-omic analysis via artificial intelligence. The doctoral researcher (M/F) will be tasked with designing an innovative linguistic agent system, interacting