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Alexander Hans
Alexander Hans
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Verifierad e-postadress på ahans.de
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Safe exploration for reinforcement learning.
A Hans, D Schneegaß, AM Schäfer, S Udluft
ESANN, 143-148, 2008
1722008
Ensembles of neural networks for robust reinforcement learning
A Hans, S Udluft
2010 Ninth International Conference on Machine Learning and Applications …, 2010
472010
Efficient uncertainty propagation for reinforcement learning with limited data
A Hans, S Udluft
Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009
242009
Method for the computer-assisted modeling of a technical system
S Düll, A Hans, S Udluft
US Patent 9,489,619, 2016
182016
Method for the computer-assisted exploration of states of a technical system
A Hans, D Schneegaβ, AM Schäfer, V Sterzing, S Udluft
US Patent 8,494,980, 2013
152013
Method for the computer-assisted learning of a control and/or a feedback control of a technical system using a modified quality function and a covariance matrix
A Hans, S Udluft
US Patent 8,380,646, 2013
142013
Agent self-assessment: Determining policy quality without execution
A Hans, S Duell, S Udluft
2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2011
122011
Uncertainty in reinforcement learning-awareness, quantisation, and control
D Schneegass, A Hans, S Udluft
Robot Learning, Sciyo, 65-90, 2010
102010
Ensemble Usage for More Reliable Policy Identification in Reinforcement Learning.
A Hans, S Udluft
ESANN, 2011
72011
The Markov Decision Process Extraction Network.
S Duell, A Hans, S Udluft
ESANN, 2010
72010
Uncertainty Propagation for Efficient Exploration in Reinforcement Learning.
A Hans, S Udluft
ECAI, 361-366, 2010
22010
Sichere Exploration für Reinforcement-Learning-basierte Regelung
A Hans, D Schneegaß, AM Schäfer, S Udluft
Tagungsband des Workshops für Computational Intelligence der GMA-FA 5, 117-131, 2007
22007
Recurrent Neural State Estimation in Domains with Long-Term Dependencies.
S Duell, L Weichbrodt, A Hans, S Udluft
ESANN, 2012
12012
Untersuchungen zur sicheren Exploration in Reinforcement Learning
A Hans
Diploma Thesis. Ilmenau, Germany: TU Ilmenau, 2007
12007
Advancing the Applicability of Reinforcement Learning to Autonomous Control
A Hans
2014
Development of a Network Adapter for the Stream Router
A Hans
2007
Sensoren-Weiterentwicklung eines MID zu einem Inline-Messgerat fur rheologische Parameter-Fur eine praxistaugliche Regelung von rheologischen Parametern ist eine Inline-Messung …
A Hans
Automatisierungstechnische Praxis 43 (7), 49-54, 2001
2001
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Artiklar 1–17