
Projekte
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Hessische Wissenschaftlerinnen und Wissenschaftler unterschiedlichster Disziplinen benötigen Hochleistungsrechnen für ihre Forschung.
Displaying 61 - 90 of 114
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
Reinforcement Learning (RL) has proven to be an empirically very successful approach to solving sequential decision ...
The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
Field-Programmable Gate Arrays (FPGA) contain programmable logic elements that can accommodate application-specific ...
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
FPGA cards are increasingly deployed to cloud data centers and made available to users as platform for the ...
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...
In June 2017, the European Space Agency started systematic Level 2A processing of Sentinel- 2 acquisitions over Europe ...
Identifying scalability bugs in parallel applications is a vital but also laborious and expensive task. Empirical ...
Stochastic-search algorithms are problem independent algorithms well-suited for black-box optimization of an objective ...
Future wireless communication systems are envisioned to meet stringent latency requirements to support control ...
Traditionally robots have been used in factories in predefined structured environments. Recently, robots are employed ...
Colloid suspension droplets are widely encountered in industrial processes, for instance fuels with dispersed, metallic ...
Circular Rydberg states refer to the valence electron of a highly excited atom in a circular orbit. Due to their very ...
The prime goal of ab initio nuclear structure theory is the description of strongly interacting systems starting from ...
In our project, we investigate the hardness of various instances of the shortest vector problem (SVP) which are the ...
In June 2017, ESA started systematic Level 2A processing of Sentinel-2 acquisitions over Europe using the cloud ...
The Bounded Support Spectral Solver (BoSSS) is developed as a flexible solver package to enable research in (mostly) ...
The Bounded Support Spectral Solver (BoSSS) is developed as a flexible solver package to enable research in (mostly) ...
The project investigated probabilistic motor skill learning for simulated robots. In detail the project looked into the ...
MUST, a dynamic MPI correctness checker, is extended with a type and memory allocation tracking sanitizer called TypeART ...
Many opto-electronic devices, such as laser diodes, solar cells or semiconductor sensors, comprise of semiconductor ...
For the modern communication and information technology semiconductors with improved optoelectronic properties are ...
Chiral molecules cannot be brought into coincidence with their mirror images. Therefore, a molecule and its mirror image ...
As part of the research group POLARCON, we intend to study the active region carrier dynamics in III-nitride light ...
The group participates in the ALICE experiment at the Large Hadron Collider (LHC) at CERN. The research activities focus ...
Die konvexe Optimierung ist ein Teilgebiet der mathematischen Optimierung. Es gilt dabei eine bestimmte Größe ...