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09/28/2022
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data
The paucity of labeled data is a typical challenge in the automotive ind...
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08/18/2022
Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis
The quality of datasets plays a crucial role in the successful training ...
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01/04/2022
Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors
In this work, we show that it is possible to train low-level control pol...
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06/16/2021
Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation
Recent development of Deep Reinforcement Learning has demonstrated super...
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05/30/2019
General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison
Automation, the ability to run processes without human supervision, is o...
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03/18/2019
A Comparison of Prediction Algorithms and Nexting for Short Term Weather Forecasts
This report first provides a brief overview of a number of supervised le...
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06/27/2018
The Virtuous Machine - Old Ethics for New Technology?
Modern AI and robotic systems are characterized by a high and ever-incre...
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10/05/2016
ℓ_1 Regularized Gradient Temporal-Difference Learning
In this paper, we study the Temporal Difference (TD) learning with linea...
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06/24/2014
Image Completion for View Synthesis Using Markov Random Fields and Efficient Belief Propagation
View synthesis is a process for generating novel views from a scene whic...
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04/24/2012
