Projects
Hessian scientists of various disciplines are using High Performance Computers for their research.
Projects
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Projekte
Displaying 61 - 90 of 110
Effect of Infinite Time-Horizons on Genetic Algorithms
Genetic Algorithms (GAs) are a popular heuristic optimization method inspired by biological evolution. We implemented a ...
Engineering SciencesComputer Science
Inverse Reinforcement Learning by Matching Feature Distributions
Reinforcement Learning is a powerful approach to achieve optimal behaviour. However, it typically requires a manual ...
Engineering SciencesComputer Science
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
Modeling of Large Proteins in DNA Repair
DNA-PKcs is a gateway protein of the Non-Homologous End Joining DNA Repair Pathway. Which is the process of repairing ...
Natural SciencesEngineering SciencesComputer Science-
Noise Resilient Empirical Performance Modeling with Deep Neural Networks
Empirical performance modeling is a proven instrument to analyze the scaling behavior of HPC applications. Using a set ...
Engineering SciencesComputer Science 
Numerical Methods for the Model of Spatial Random Permutations and a Connection to Schramm-Loewner Evolution I
We made several numerical calculations regarding the model of Spatial Random Permutations (SRP). This is a model in ...
Natural SciencesMathematics
Scalability of OpenMP
This project is concerned with promoting a more efficient usage of the HPC Systems. The two major technologies used to ...
Engineering SciencesComputer Science
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
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Reinforcement Learning (RL) has proven to be an empirically very successful approach to solving sequential decision ...
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
Computationally-Intensive Subproblems in FPGA-Based Accelerator Design
Field-Programmable Gate Arrays (FPGA) contain programmable logic elements that can accommodate application-specific ...
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 
Design-Space Exploration for FPGA-Accelerators in Cloud Environments
FPGA cards are increasingly deployed to cloud data centers and made available to users as platform for the ...
Engineering SciencesComputer Science
DNS of Viscoelastic Fluids
Recent numerical stabilization approaches provide new opportunities for viscoelastic flow simulations. The numerical ...
Natural SciencesMathematics-
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 
Interpretable Reinforcement Learning
Deep Reinforcement Learning can solve difficult high dimensional tasks, by exploiting the expressive representation ...
Engineering SciencesComputer Science-
Model Learning With Recurrent Kalman Networks
Recurrent State-space models (RSSMs) are highly expressive models for learning patterns in time series data and system ...
Engineering SciencesComputer Science -
Multi-Label Rule Learning
This project aimed at solving multi-label classification problems using rule learning algorithms. Multi-label ...
Engineering SciencesComputer Science 
Network Traffic Prediction with Neural Networks
The bursty nature of network traffic is one of the main reasons for congestion in data centers, since traffic loads are ...
Engineering SciencesComputer Science
Parallelizing the Level 2A Processor for Sentinel-2 Satellite Imagery
In June 2017, the European Space Agency started systematic Level 2A processing of Sentinel- 2 acquisitions over Europe ...
Engineering SciencesComputer Science-
Performance Modeling at a Discount
Identifying scalability bugs in parallel applications is a vital but also laborious and expensive task. Empirical ...
Engineering SciencesComputer Science -
Stochastic Search for Applications in Robotics
Stochastic-search algorithms are problem independent algorithms well-suited for black-box optimization of an objective ...
Engineering SciencesComputer Science -
Adaptive Numerical Wavelet Frame Methods for Elliptic and Parabolic Operator Equations, Inverse Problems, and Stochastic Evolution Equations
Many real-world phenomena are modelled by partial differential equations. Even in relatively low dimensions, the ...
Natural SciencesMathematics 
Alternative Ephemeris Representations for Astrodynamical Simulations on Multi-Core CPUs and Accelerator Cards
Spacecraft missions of the European Space Agency (ESA) are required to meet specific probabilistic requirements ...
Engineering SciencesComputer Science-
Comparing Importance of Webgraph Nodes via Random Walks
We planned to test a method for ranking nodes in a network (for example web pages in the internet) that is an ...
Natural SciencesMathematics 
Decoding Concurrent IEEE 802.11 Transmissions with Imprecise Synchronization
Future wireless communication systems are envisioned to meet stringent latency requirements to support control ...
Engineering SciencesElectrical Engineering and Information TechnologyComputer Science-
Deep Reinforcement Learning under Uncertainty
Traditionally robots have been used in factories in predefined structured environments. Recently, robots are employed ...
Engineering SciencesComputer Science 
p3Enum: A Parallel, Parameterizable Open-Source Framework for Enumeration with Extreme Pruning
In our project, we investigate the hardness of various instances of the shortest vector problem (SVP) which are the ...
Engineering SciencesComputer Science
Parallelizing the Level 2A Processor for Sentinel-2 Satellite Imagery
In June 2017, ESA started systematic Level 2A processing of Sentinel-2 acquisitions over Europe using the cloud ...
Engineering SciencesComputer Science
