Safe exploration for reinforcement learning. - Alexander Hans; Daniel Schneegaß; Anton Maximilian Schäfer; Steffen Udluft (ESANN, 2008)

Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data. - Alexander Hans; Steffen Udluft (ICANN (1), 2009)

Uncertainty Propagation for Efficient Exploration in Reinforcement Learning. - Alexander Hans; Steffen Udluft (ECAI, 2010)

The Markov Decision Process Extraction Network. - Siegmund Duell; Alexander Hans; Steffen Udluft (ESANN, 2010)

Ensembles of Neural Networks for Robust Reinforcement Learning. - Alexander Hans; Steffen Udluft (ICMLA, 2010)

Agent self-assessment: Determining policy quality without execution. - Alexander Hans; Siegmund Duell; Steffen Udluft (ADPRL, 2011)

Ensemble Usage for More Reliable Policy Identification in Reinforcement Learning. - Alexander Hans; Steffen Udluft (ESANN, 2011)

Recurrent Neural State Estimation in Domains with Long-Term Dependencies. - Siegmund Duell; Lina Weichbrodt; Alexander Hans; Steffen Udluft (ESANN, 2012)

Advancing the applicability of reinforcement learning to autonomous control. - Alexander Hans (2014)