Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 31 - 53 of 53
Adaptive Autonomous Assembly
Autonomous robotic assembly requires a well-orchestrated sequence of high-level actions and smooth manipulation ...
Engineering SciencesComputer Science
CYWARN – Entwicklung von Strategien und Technologien zur Analyse und Kommunikation der Sicherheitslage im Cyberraum
The increase in complex cyber-attacks illustrates the vulnerability of society and information infrastructure. In ...
Engineering SciencesComputer Science
Learning for Decentralized, Long-Horizon Manipulation
Achieving long-horizon dexterous manipulation remains a challenging problem in robotics. There exists a long history of ...
Engineering SciencesSystems Engineering
Optical Spectroscopy, Dielectric Properties and Structure Discrimination of SnN (20 ≤ N ≤ 40)
The previous investigation of neutral SnN clusters with N = 6 - 20 showed that for clusters with N ≤ 15 prolate ...
Natural SciencesPhysical and Theoretical Chemistry
Structure Discrimination of SnNGa with N = 9–15
Since semiconductors are fundamental for modern technologies, the research is focused on such materials and their ...
Natural SciencesPhysical and Theoretical Chemistry-
Visuomotor Control of Pouring Liquids
Natural visuomotor control tasks such as pouring liquids into cups are trivial for humans but are challenging to model ...
Life SciencesNeurosciences 
Algorithm Unfolding in Multicell Downlink MIMO Precoding
In wireless communications, beamforming is utilized for the reception and transmission of directional wireless signals ...
Engineering SciencesElectrical Engineering and Information Technology
Bayesian Inference of Cyclic Transcription Dynamics
Transcription is the process of converting DNA into RNA and is essential to cellular life. The transcription process ...
Natural SciencesStatistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics
Deep Reinforcement Learning: Benchmarking, Algorithms and Applications
Deep Learning is the major component of the success of most new Artificial Intelligence applications. A new promising ...
Engineering Sciences
Designing an Efficient Neural Architecture Search
Within the last decade, deep neural networks have attracted much attention from academia and industry. Such a wide ...
Engineering SciencesComputer Science
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Normative computational models of human sensorimotor behavior based on optimal feedback control with signal-dependent ...
Life SciencesNeurosciences
Learning Physically Interactive Behaviours for Human-Robot Interaction
Modeling interaction dynamics to generate robot trajectories that enable a robot to adapt and react to a human’s actions ...
Engineering SciencesComputer Science
Measure-Valued Derivatives for Reinforcement Learning
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy ...
Engineering SciencesComputer Science
Optical Absorption Studies and Quantum Chemistry of a Tin Nanoparticle
Semiconductors are the fundament of modern technology and still in the focus of current research. With decreasing size ...
Natural SciencesPhysical and Theoretical Chemistry
Optical Spectroscopy, Dielectric Properties and Structure Discrimination of Sn+N (20≤N≤40) Clusters
Semiconductor materials are of great importance in the development of technological devices. In particular, the trend ...
Natural SciencesPhysical and Theoretical Chemistry
When to Trust Your Model in Model-based Value Expansion?
Model-based value expansion methods promise to improve the quality of value function targets and, thereby, the ...
Engineering SciencesComputer Science
Balloon Estimators for Improving and Scaling the Nonparametric Off-Policy Policy Gradient
The Nonparametric Off-Policy Policy Gradient (NOPG) is a policy gradient algorithm to solve reinforcement learning tasks ...
Engineering SciencesComputer Science-
Constraint Space Projection Reinforcement Learning
The aim of the project is to develop a new family of optimization algorithms to handle convex constraints and evaluate ...
Engineering SciencesComputer Science -
Evaluating and Improving Recurrent Kalman Networks
Precise models of the system dynamics are crucial for model-based control and reinforcement learning (RL) in autonomous ...
Engineering SciencesComputer Science 
High Throughput Screening and Tuning of Magnetic Two Dimensional Materials
The demand of minimization and feasibility of integration makes two-dimensional (2D) materials remarkable in promising ...
Natural SciencesTheoretical Condensed Matter Physics
Interpretable Reinforcement Learning
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
Engineering SciencesComputer Science
Global Optimization of Aluminum-doped Tin Clusters
Semiconductors are the fundament of modern technology and as such still a topic of current research. With decrease in ...
Natural SciencesPhysical and Theoretical Chemistry-
Efficient representations of deep neural networks
Deep neural networks (DNNs) have gained extreme popularity in recent years, advancing state-of-the- art results in ...
Engineering SciencesComputer Science
