PUB - Publikationen an der Universität Bielefeld

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• [12]
  

  2021 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2960159

  Moringen, A.; Fleer, S.; Ritter, H. (2021): Meta-learning Haptic Exploration of Simple 3D Objects. In: 2021 IEEE World Haptics Conference. Piscataway, NJ: IEEE.

  PUB | PDF
   
• [11]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2949926

  Mohanty, S. P.; Czakon, J.; Kaczmarek, K. A.; Pyskir, A.; Tarasiewicz, P.; Kunwar, S.; Rohrbach, J.; Luo, D.; Prasad, M.; Fleer, S.; Göpfert, J. P.; Tandon, A.; Mollard, G.; Rayaprolu, N.; Salathe, M.; Schilling, M. (2020): Deep Learning for Understanding Satellite Imagery: An Experimental Survey Frontiers in Artificial Intelligence,3:534696

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [10]
  

  2020 | Bielefelder E-Dissertation | PUB-ID: 2949123

  Fleer, S. (2020): Scaffolding for learning from reinforcement: Improving interaction learning. Bielefeld: Universität Bielefeld.

  PUB | Dateien verfügbar | DOI
   
• [9]
  

  2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2943876

  Moringen, A.; Fleer, S.; Walck, G.; Ritter, H. (2020): Attention-based Robot Learning of Haptic Interaction. In: Ilana Nisky; Jess Hartcher-O’Brien; Michaël Wiertlewski; Jeroen Smeets (Hrsg.): Haptics: Science, Technology, Applications. 12th International Conference, EuroHaptics 2020, Leiden, The Netherlands, September 6–9, 2020, Proceedings. Cham: Springer. (Lecture Notes in Computer Science, 12272). S. 462-470.

  PUB | PDF | DOI | Download (ext.)
   
• [8]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939850

  Fleer, S.; Moringen, A.; Klatzky, R. L.; Ritter, H. (2020): Learning efficient haptic shape exploration with a rigid tactile sensor array PLOS ONE,15:(1):e0226880

  PUB | PDF | DOI | WoS | PubMed | Europe PMC | arXiv
   
• [7]
  

  2019 | Datenpublikation | PUB-ID: 2934182

  Fleer, S. (2019): Supplementary Material - Solving a tool-based interaction task using deep reinforcement learning with visual attention. Bielefeld University.

  PUB | Dateien verfügbar | DOI
   
• [6]
  

  2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2935994

  Fleer, S.; Ritter, H. (2019): Solving a Tool-Based Interaction Task Using Deep Reinforcement Learning with Visual Attention. In: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. WSOM 2019. Cham: Springer. ( Advances in Intelligent Systems and Computing , 976). S. 231-240.

  PUB | DOI | Download (ext.)
   
• [5]
  

  2019 | Datenpublikation | PUB-ID: 2936475

  Fleer, S.; Moringen, A.; Klatzky, R. L.; Ritter, H. (2019): Supplementary Material - Learning efficient haptic shape exploration with a rigid tactile sensor array. Bielefeld University.

  PUB | Dateien verfügbar | DOI
   
• [4]
  

  2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2939854

  Moringen, A.; Fleer, S.; Ritter, H. (2019): Scaffolding Haptic Attention with Controller Gating. In: Igor V. Tetko; Věra Kůrková; Pavel Karpov; Fabian Theis (Hrsg.): Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation.28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I. Cham: Springer. (Lecture Notes in Computer Science, 11727). S. 669-684.

  PUB | DOI | Download (ext.)
   
• [3]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2933709

  Fleer, S.; Ritter, H. (2019): Skill Transfer for Mediated Interaction Learning. In: 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids). Piscataway, NJ: IEEE.

  PUB | DOI | Download (ext.)
   
• [2]
  

  2019 | Konferenzbeitrag | PUB-ID: 2933988

  Melnik, A.; Fleer, S.; Schilling, M.; Ritter, H. (2019): Modularization of End-to-End Learning: Case Study in Arcade Games. In: 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Workshop on Causal Learning.

  PUB | arXiv
   
• [1]
  

  2017 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2914841

  Fleer, S.; Ritter, H. (2017): Comparing Action Sets: Mutual Information as a Measure of Control. In: Artificial Neural Networks and Machine Learning – ICANN 2017. Cham: Springer International Publishing. (Lecture Notes in Computer Science, ). S. 68-75.

  PUB | DOI